WMS GeoMet-Weather provides public access to the Meteorological Service of Canada (MSC) and Environment and Climate Change Canada (ECCC) data via interoperable web services and application programming interfaces (API). Through open standards, users can freely and quickly access thousands of real-time and archived weather, climate and water datasets and products and integrate them in their domain-specific applications and decision support systems. Users can build mobile apps, create interactive web maps, and display and animate MSC data in desktop software. MSC GeoMet also enables on demand raw data clipping and reprojection, on demand format conversion and custom visualization. Weather Meteorology Climate Forecasting Floods Weather alerts Storms Wind Temperature Precipitations Snow Ice National Inquiry Response Team Government of Canada, Environment and Climate Change Canada, Meteorological Service of Canada Service Channel postal

77 Westmorland Street, Suite 260

Fredericton New Brunswick E3B 6Z3 Canada None +01-506-451-6010 ecweather-meteo@ec.gc.ca None None 16384 16384 text/xml image/png image/jpeg image/webp text/plain application/json application/vnd.ogc.gml text/xml image/png image/jpeg image/png; mode=8bit image/vnd.jpeg-png image/vnd.jpeg-png8 text/xml XML INIMAGE BLANK GeoMet-Weather provides public access to the Meteorological Service of Canada (MSC) and Environment and Climate Change Canada (ECCC) data via interoperable web services and application programming interfaces (API). Through open standards, users can freely and quickly access thousands of real-time and archived weather, climate and water datasets and products and integrate them in their domain-specific applications and decision support systems. Users can build mobile apps, create interactive web maps, and display and animate MSC data in desktop software. MSC GeoMet also enables on demand raw data clipping and reprojection, on demand format conversion and custom visualization. Weather Meteorology Climate Forecasting Floods Weather alerts Storms Wind Temperature Precipitations Snow Ice EPSG:4326 EPSG:2294 EPSG:2295 EPSG:2950 EPSG:3005 EPSG:3408 EPSG:3410 EPSG:3571 EPSG:3572 EPSG:3573 EPSG:3574 EPSG:3575 EPSG:3576 EPSG:3776 EPSG:3857 EPSG:3978 EPSG:3995 EPSG:4267 EPSG:4269 EPSG:26707 EPSG:26708 EPSG:26709 EPSG:26710 EPSG:26711 EPSG:26712 EPSG:26713 EPSG:26714 EPSG:26715 EPSG:26716 EPSG:26717 EPSG:26718 EPSG:26719 EPSG:26720 EPSG:26721 EPSG:26722 EPSG:26907 EPSG:26908 EPSG:26909 EPSG:26910 EPSG:26911 EPSG:26912 EPSG:26913 EPSG:26914 EPSG:26915 EPSG:26916 EPSG:26917 EPSG:26918 EPSG:26919 EPSG:26920 EPSG:26921 EPSG:26922 EPSG:32187 EPSG:32188 EPSG:32198 EPSG:32661 EPSG:42101 EPSG:42102 EPSG:42304 EPSG:102100 EPSG:102185 EPSG:900913 AUTO2:42003 -180.000000 180.000000 -90.000000 90.000000 image/jpeg Canadian Weather ALERTS Environment Canada issues weather alerts about weather related hazards in order to notify those in affected areas so that they can take steps to protect themselves and their property from harm. Alerts are classified depending on the severity and timing of the subject event and include: warnings, watches, advisories and statements. Warnings are usually issued six to 24 hours in advance, although some severe weather (such as thunderstorms and tornadoes) can occur rapidly, with less than a half hours' notice. Alerts Weather warnings Precipitation Snow Wind Storms Floods -140.880000 -52.730000 42.100000 82.500000 urn:x-msc-smc:md:weather-meteo::weather.alerts text/xml CURRENT_CONDITIONS Current conditions and forecasts for selected Canadian cities. Raw XML data are used to generate each city page on the Environment Canada web site https://www.weather.gc.ca/. Meteorology Weather Weather Weather forecasts -140.880000 -52.730000 42.100000 82.500000 urn:x-msc-smc:md:weather-meteo::citypage.weather text/xml CoastalFloodRiskIndex The Coastal Flooding Risk Index is a geo- and time-referenced polygon product issued by the Meteorological Service of Canada (MSC) to articulate the coastal flooding risk, impact and probability. Products are issued daily by Storm Prediction Centres and are intended to provide early notification, out to 5 days, of coastal flooding due to astronomical tide, storm surge and wave impacts. Risk Index Probability Storm surge Wave impact Floods Tides Coastal waters -72.041667 -44.291769 41.958334 60.041598 urn:x-msc-smc:md:weather-meteo::coastal.flood.risk.index text/xml Current-Alerts Environment Canada issues weather alerts about weather related hazards in order to notify those in affected areas so that they can take steps to protect themselves and their property from harm. Alerts are classified depending on the severity and timing of the subject event and include: warnings, watches, advisories and statements. Warnings are usually issued six to 24 hours in advance, although some severe weather (such as thunderstorms and tornadoes) can occur rapidly, with less than a half hours' notice. Alerts Weather warnings Precipitation Snow Wind Storms Floods -140.880000 -52.730000 42.100000 82.500000 urn:x-msc-smc:md:weather-meteo::weather.alerts text/xml Lightning_2.5km_Density The Canadian Lightning Detection Network (CLDN) provides lightning monitoring across most of Canada. The data distributed here represents a spatio-temporal aggregation of the observations of this network available with an accuracy of a few hundred meters. More precisely, every 10 minutes, the reported observations are processed in the following way: The location of observed lightning (cloud-to-ground and intra-cloud) in the last 10 minutes is extracted. Using a regular horizontal grid of about 2.5km by 2.5km, the number of observed lightning flashes within each grid cell is calculated. These grid data are normalized by the exact area of each cell (in km2) and by the accumulation period (10min) to obtain an observed flash density expressed in km-2 and min-1. A mask is applied to remove data located more than 250km from Canadian land or sea borders. Lightning Real-time Thunderstorm Storms Weather Detection -156.145350 -38.694350 31.541389 73.723389 2026-05-22T19:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::lightning text/xml METNOTES MetNotes are a geo- and time-referenced, free form polygon product issued by MSC that complement today’s location-based dissemination systems. The concise text of a MetNote (similar to a Tweet) is consistent with communication today where people are seeking information at a glance. Meteorologists will issue a MetNote to add contextual and/or impact information to complement the public forecast that is valid over a specific area, for a specific time range. MetNote Contextual information Forecaster comment Impact Weather Weather forecasts -140.880000 -52.730000 42.100000 82.500000 urn:x-msc-smc:md:weather-meteo::metnotes text/xml Marine-Standard-Forecast-Zones The Marine Standard Forecast Zones layer is a collection of forecast location polygons that represents bounded (zone) locations at the Marine Program Standard level. The Marine Program standard level is used in most forecasts, warnings, watches, advisories and special marine weather statements. This layer is comprised mainly of water based Marine regions, Met Areas, Lakes, Great Lakes and many of the larger Inland water bodies. The layer is further comprised of four depictions, cartographic detailed (with proper shorelines and high resolution polygons), cartographic coarse (with generalized shorelines and low resolution polygons), and digital exaggerated (with exaggerated shorelines and low resolution polygons) and the hybrid (mix of cartographic detail and exaggerated). The digital layer (exaggerated) is a collection of polygons where shoreline boundaries are stretched inland. In this "Exaggerated" part of the layer, the boundaries are made smooth to reduce the number of polygon vertices. Boundaries of the forecast regions of this hybrid set are derived from the polygon boundaries of both the exaggerated digital, and the cartographic detailed set. Polygon boundaries along the shoreline of this set follow the exaggerated boundaries while the inland boundaries follow the detailed lines. The Marine Standard Forecast Zones layer is also presented in the polygon package in two coordinate systems, "Projected" (Lambert Conic Conformal) and "Unprojected" (Geographical Coordinated System). Polygons Boundaries Shapes Forecast zones Forecast sites Forecast locations Shape files Locations CLC Marine program Standard level Weather forecasts Weather warnings -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::marinestdforecasts.zones text/xml Public-Standard-Forecast-Zones The Public Standard Forecast Zones layer is a collection of public program forecast location zone polygons that represents bounded measurable locations at the Public program Standard level. The public program standard level is used in most forecasts, warnings, watches, advisories and special weather statement. With the exception of the Manitoba Lakes, the layer is made up of mostly the land kind of polygons. The layer is made up of four depictions, cartographic detailed (with proper shorelines and high resolution polygons), cartographic coarse (with generalized shorelines and low resolution polygons), digital exaggerated (with exaggerated shorelines and low resolution polygons) and the hybrid (mix of cartographic detail and exaggerated). The digital layer (exaggerated) is a collection of polygons where shoreline boundaries are stretched offshore for the land polygons and inland for the water polygons. In this "Exaggerated" layer, the boundaries are made smooth to reduce the number of polygon vertices. Boundaries of the forecast regions of this hybrid set are derived from the polygon boundaries of both the exaggerated digital, and the cartographic detailed set. Polygon boundaries along the shoreline of this set follow the exaggerated boundaries while the inland boundaries follow the detailed lines. The Public Standard Forecast Zones layer is presented in the polygon package in two coordinate systems, "Projected" (Lambert Conformal Conic) and "Unprojected" (Geographical Coordinated System). Polygons Boundaries Shapes Forecast zones Forecast sites Forecast locations Shape files Locations CLC Public program Standard level Weather forecasts Weather warnings Geographic data Boundaries -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::publicstdforecasts.zones text/xml Surface Weather Observations (SWOB) Stations SWOB-Marine-Stations Hourly surface land observations support weather forecasting and climate monitoring, with meteorological data reported hourly from either data logger output tables 11 or 160. Campbell Scientific data loggers are utilized in this network to acquire, process, store, and transmit sensor data. Observations are encoded by the data loggers and transmitted individually via the Datalogger Retrieval System. SYNOP Station pressure Maximum temperature Minimum temperature Mean temperature Average temperature Wind direction Wind speed Total precipitation Maximum relative humidity Minimum relative humidity Weather Hourly Surface Land Air temperature Humidity Precipitation Wind Meteorological data -140.800000 -52.600000 41.830000 82.500000 urn:x-msc-smc:md:weather-meteo::observations.land.stations text/xml SWOB-Partner-Stations The MSC moored buoy network operates approximately 20-40 moored buoys, varying based on seasonal changes, along the West and East coasts, and inland lakes. These buoys include 3-meter discus buoys along the coasts and both 3 and 1.7-meter Watchkeeper buoys on inland lakes. The network utilizes two types of payloads, namely Watchman100 (WM100) and Watchman500 (WM500), with a transition to the latter since 2021. WM500 payloads offer full-time Iridium data transmission with additional wave and housekeeping elements reported at regular hourly intervals. Buoys with WM100 payloads primarily use satellite telemetry (GOES) for data delivery. Station pressure Maximum temperature Minimum temperature Mean temperature Average temperature Wind direction Wind speed Meteorological data Marine Atmospheric pressure Air Temperature Wind Wave Oceans Lakes -140.800000 -52.600000 41.830000 82.500000 urn:x-msc-smc:md:weather-meteo::observations.marine.stations text/xml SWOB-Surface-Stations Hourly surface land observations support weather forecasting and climate monitoring, with meteorological data reported hourly from either data logger output tables 11 or 160. Campbell Scientific data loggers are utilized in this network to acquire, process, store, and transmit sensor data. Observations are encoded by the data loggers and transmitted individually via the Datalogger Retrieval System. SYNOP Station pressure Maximum temperature Minimum temperature Mean temperature Average temperature Wind direction Wind speed Total precipitation Maximum relative humidity Minimum relative humidity Weather Hourly Surface Land Air temperature Humidity Precipitation Wind Meteorological data -140.800000 -52.600000 41.830000 82.500000 urn:x-msc-smc:md:weather-meteo::observations.land.stations text/xml Air Quality Air Quality Health Index (AQHI) AQHI-OBS The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very High Health Risk). The AQHI is calculated based on the relative risks of a combination of common air pollutants that are known to harm human health, including ground-level ozone, particulate matter, and nitrogen dioxide. The AQHI formulation captures only the short term or acute health risk (exposure of hour or days at a maximum). The formulation of the AQHI may change over time to reflect new understanding associated with air pollution health effects. The AQHI is calculated from data observed in real time, without being verified (quality control). -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::aqhi text/xml Regional Air Quality Deterministic Prediction System - FireWork (RAQDPS-FW) [10 km] RAQDPS-FW.CE_Footprint The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Wildfires Forecasting Air quality Atmospheric emissions Chemicals Forest fires -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects text/xml Cumulative Effects Hotspots RAQDPS-FW.CE_HOTSPOTS.2013 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2014 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2015 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2016 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2017 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2018 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2019 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2020 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2021 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2022 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2023 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_HOTSPOTS.2024 Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml RAQDPS-FW.CE_PM2.5-DIFF-MAvg The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Wildfires Forecasting Air quality Atmospheric emissions Chemicals Forest fires -176.842397 -18.825655 16.149200 80.210751 2013-01-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects text/xml RAQDPS-FW.CE_PM2.5-DIFF-MAvg-DMax The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Wildfires Forecasting Air quality Atmospheric emissions Chemicals Forest fires -176.842397 -18.825655 16.149200 80.210751 2013-01-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects text/xml RAQDPS-FW.CE_PM2.5-DIFF-YAvg The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Wildfires Forecasting Air quality Atmospheric emissions Chemicals Forest fires -176.842397 -18.825655 16.149200 80.210751 2013-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects text/xml RAQDPS-FW.CE_PM2.5-DIFF-YAvg-DMax The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Wildfires Forecasting Air quality Atmospheric emissions Chemicals Forest fires -176.842397 -18.825655 16.149200 80.210751 2013-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects text/xml RAQDPS-FW_Footprint Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment. Hotspots Wildfires Forest fires -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps-fw.cumulative-effects.hotspots text/xml Regional Air Quality Deterministic Prediction System (RAQDPS) [10 km] RAQDPS products RAQDPS.EATM_PM2.5 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.EATM_PM10 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.EAtm_PM2.5-WildfireSmokePlume The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.EAtm_PM10-WildfireSmokePlume The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_NO The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_NO2 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_O3 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_PM2.5 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_PM10 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.SFC_SO2 The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.Sfc_PM2.5-WildfireSmokePlume The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.Sfc_PM2.5-WildireSmokePlume-DAvg The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-23T12:00:00Z,2026-05-24T12:00:00Z,2026-05-25T12:00:00Z 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.Sfc_PM2.5-WildireSmokePlume-DMax The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-23T12:00:00Z,2026-05-24T12:00:00Z,2026-05-25T12:00:00Z 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS.Sfc_PM10-WildfireSmokePlume The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -176.842409 -18.825681 16.149189 80.210751 2026-05-22T12:00:00Z/2026-05-25T12:00:00Z/PT1H 2026-05-20T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml RAQDPS_Footprint The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km. Prediction Regional Particulate matter Forecasting Air quality Atmospheric emissions Ozone Chemicals -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps text/xml Hotspots (seasonal) WildfireHotspots Hotspots represent active wild fires. Natural Resources Canada Canadian Wild Fire Information System identifies them by processing Infrared satellite images. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System (RAQDPS) to enable forecasting air quality while taking into account wild fire emissions. Hotspots Wildfires FireWork Forest fires -180.000000 -52.000000 18.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.raqdps.hotspots text/xml Regional Deterministic Air Quality Analysis (RDAQA) [10 km] RDAQA products RDAQA-FW_10km_PM2.5 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-FW_10km_PM10 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_NO Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_NO2 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_O3 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_PM2.5 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_PM10 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA-Prelim_10km_SO2 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T17:00:00Z/2026-05-22T21:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_NO Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_NO2 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_O3 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_PM2.5 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_PM10 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA_10km_SO2 Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2026-05-20T16:00:00Z/2026-05-22T20:00:00Z/PT1H urn:x-msc-smc:md:weather-meteo::rdaqa text/xml RDAQA.CE_Footprint The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml Cumulative Effects products RDAQA.CE_NO2-MAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_NO2-MAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_NO2-YAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_NO2-YAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_O3-MAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2013-03-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_O3-MAvg-DMax-8hRAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2013-03-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_O3-YAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2014-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_O3-YAvg-DMax-8hRAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2014-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM2.5-MAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2013-03-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM2.5-MAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2013-03-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM2.5-YAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2014-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM2.5-YAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2014-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM10-MAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM10-MAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM10-YAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_PM10-YAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_SO2-MAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_SO2-MAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2015-05-01T00:00:00Z/2024-12-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_SO2-YAvg The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA.CE_SO2-YAvg-DMax The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -176.842397 -18.825655 16.149200 80.210751 2016-01-01T00:00:00Z/2024-01-01T00:00:00Z/P1Y urn:x-msc-smc:md:weather-meteo::rdaqa:cumulative-effects text/xml RDAQA_Footprint Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10. Regional Particulate matter Analysis Air quality Atmospheric emissions Ozone Chemicals -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::rdaqa text/xml Canadian Arctic Prediction System (CAPS) [3 km] [experimental] CAPS-Ocean CAPS-Ocean_3km_MixedLayerThickness The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceCompressiveStrength The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceDivergence The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceFraction The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceInternalPressure The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceShear The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceSnowTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceSnowVolume The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceVelocity The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceVelocityX The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceVelocityY The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaIceVolume The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaSurfaceHeight The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_0.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1.6m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2.7m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3.9m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_6.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_8.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_9.8m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_12m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_14m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_17m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_19m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_23m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_27m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_31m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_36m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_41m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_47m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_54m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_61m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_69m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_78m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_87m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_97m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_108m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_133m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_147m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_163m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_181m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_200m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_221m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_245m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_271m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_301m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_334m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_371m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_412m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_458m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_509m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_565m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_628m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_697m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_773m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_857m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_947m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1046m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1152m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1266m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1387m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1516m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1653m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1796m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_1945m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2101m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2262m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2429m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2600m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2776m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_2956m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3139m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3325m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3513m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3705m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_3898m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_4093m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_4290m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_4488m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_4688m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_4888m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5089m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5292m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5495m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5698m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterSalinity_5902m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_0.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1.6m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2.7m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3.9m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_6.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_8.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_9.8m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_12m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_14m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_17m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_19m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_23m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_27m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_31m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_36m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_41m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_47m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_54m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_61m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_69m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_78m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_87m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_97m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_108m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_133m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_147m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_163m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_181m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_200m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_221m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_245m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_271m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_301m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_334m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_371m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_412m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_458m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_509m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_565m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_628m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_697m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_773m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_857m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_947m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1046m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1152m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1266m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1387m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1516m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1653m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1796m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_1945m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2101m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2262m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2429m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2600m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2776m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_2956m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3139m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3325m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3513m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3705m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_3898m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_4093m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_4290m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_4488m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_4688m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_4888m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5089m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5292m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5495m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5698m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterTemp_5902m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_0.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1.6m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2.7m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3.9m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_6.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_8.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_9.8m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_12m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_14m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_17m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_19m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_23m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_27m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_31m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_36m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_41m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_47m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_54m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_61m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_69m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_78m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_87m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_97m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_108m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_133m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_147m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_163m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_181m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_200m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_221m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_245m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_271m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_301m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_334m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_371m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_412m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_458m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_509m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_565m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_628m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_697m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_773m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_857m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_947m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1046m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1152m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1266m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1387m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1516m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1653m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1796m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_1945m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2101m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2262m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2429m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2600m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2776m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_2956m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3139m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3325m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3513m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3705m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_3898m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_4093m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_4290m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_4488m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_4688m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_4888m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5089m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5292m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5495m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5698m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityX_5902m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_0.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1.6m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2.7m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3.9m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_6.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_8.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_9.8m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_12m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_14m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_17m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_19m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_23m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_27m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_31m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_36m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_41m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_47m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_54m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_61m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_69m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_78m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_87m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_97m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_108m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_133m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_147m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_163m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_181m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_200m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_221m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_245m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_271m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_301m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_334m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_371m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_412m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_458m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_509m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_565m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_628m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_697m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_773m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_857m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_947m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1046m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1152m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1266m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1387m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1516m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1653m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1796m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_1945m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2101m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2262m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2429m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2600m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2776m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_2956m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3139m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3325m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3513m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3705m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_3898m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_4093m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_4290m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_4488m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_4688m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_4888m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5089m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5292m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5495m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5698m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocityY_5902m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_0.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1.6m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2.7m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3.9m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_6.5m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_8.1m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_9.8m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_12m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_14m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_17m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_19m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_23m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_27m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_31m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_36m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_41m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_47m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_54m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_61m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_69m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_78m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_87m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_97m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_108m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_133m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_147m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_163m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_181m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_200m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_221m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_245m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_271m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_301m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_334m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_371m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_412m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_458m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_509m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_565m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_628m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_697m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_773m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_857m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_947m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1046m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1152m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1266m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1387m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1516m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1653m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1796m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_1945m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2101m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2262m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2429m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2600m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2776m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_2956m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3139m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3325m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3513m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3705m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_3898m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_4093m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_4290m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_4488m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_4688m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_4888m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5089m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5292m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5495m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5698m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_SeaWaterVelocity_5902m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-Ocean_3km_TurboclineDepth The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG CAPS-WEonG_3km_AirTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_BlowingSnow-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_BlowingSnowPresence The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_DewPointTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_DewPointTemp-Contour The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_DominantPrecipType The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Drizzle-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_FreezingDrizzle-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_FreezingPrecip-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_FreezingRain-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_IceFogVisibility The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_IcePellets-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_IcePelletsCondAmt The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_InstantPrecipType The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_LandWater-Proportion The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_LiquidFogVisibility The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_LiquidPrecip-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_LiquidPrecipCondAmt The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Orography The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Precip-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_PrecipCharacter The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_PrecipCondAmt The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Rain-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_SecondMostCommonPrecipType The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_SkyState The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Snow-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_SnowLevelHeight The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_SnowSqualls-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_SolidSnowCondAmt The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_Thunderstorm-Prob The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_TotalPrecipIntensityIndex The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_WindDir The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_WindGust The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS-WEonG_3km_WindSpeed The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS pressure levels 250 CAPS_3km_AbsoluteVorticity_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_VerticalVelocity_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_250mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 500 CAPS_3km_AbsoluteVorticity_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_VerticalVelocity_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 700 CAPS_3km_AbsoluteVorticity_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_VerticalVelocity_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_700mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 850 CAPS_3km_AbsoluteVorticity_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_VerticalVelocity_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_850mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 1000 CAPS_3km_AbsoluteVorticity_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_VerticalVelocity_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_1000mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 50 CAPS_3km_AirTemp-Contour_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_50mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 100 CAPS_3km_AirTemp-Contour_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_100mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 150 CAPS_3km_AirTemp-Contour_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_150mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 175 CAPS_3km_AirTemp-Contour_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_175mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 200 CAPS_3km_AirTemp-Contour_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_200mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 225 CAPS_3km_AirTemp-Contour_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_225mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 275 CAPS_3km_AirTemp-Contour_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_275mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 300 CAPS_3km_AirTemp-Contour_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_300mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 350 CAPS_3km_AirTemp-Contour_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_350mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 400 CAPS_3km_AirTemp-Contour_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_400mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 450 CAPS_3km_AirTemp-Contour_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_450mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 550 CAPS_3km_AirTemp-Contour_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_550mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 600 CAPS_3km_AirTemp-Contour_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_600mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 650 CAPS_3km_AirTemp-Contour_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_650mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 750 CAPS_3km_AirTemp-Contour_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_750mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 800 CAPS_3km_AirTemp-Contour_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_800mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 875 CAPS_3km_AirTemp-Contour_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_875mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 900 CAPS_3km_AirTemp-Contour_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_900mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 925 CAPS_3km_AirTemp-Contour_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_925mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 950 CAPS_3km_AirTemp-Contour_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_950mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 970 CAPS_3km_AirTemp-Contour_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_970mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 985 CAPS_3km_AirTemp-Contour_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_985mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml 1015 CAPS_3km_AirTemp-Contour_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_1015mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS CAPS_3km_AirDensity_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirDensity_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirDensity_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp-Contour_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_AirTemp_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Albedo The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_CAPE The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_CloudWater The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_ConvectivePrecip-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint-Contour_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint-Contour_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint-Contour_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint-Contour_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPointDepression_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DewPoint_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DownwardLongwaveRadiationFlux-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DownwardShortwaveRadiationFlux-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_DownwardShortwaveRadiationFlux-Accum_NTAtm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_FreezingRain-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_GeopotentialHeight-Contour The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_IcePellets-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_LandWater-Proportion The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_LatentHeatNetFlux The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_NetLongwaveRadiationFlux-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_NetShortwaveRadiationFlux-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_PlanetaryBoundaryLayerHeight The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Precip-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_PrecipRate The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Pressure The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Pressure-Contour The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Pressure_MSL The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Pressure_MSL-Contour The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RadiativeTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Rain-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_RelativeHumidity_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Runoff-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SeaIceFraction The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SeaWaterTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SensibleHeatNetFlux The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Snow-Accum The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SnowDensity The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SnowDepth The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SnowDepthWaterEquivalent The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SoilTemp The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SoilTemp_0-10cm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SoilVolumetricIceContent The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SoilVolumetricWaterContent_0-1cm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SoilVolumetricWaterContent_0-10cm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_2m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_SpecificHumidity_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_StormRelativeHelicity The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Thickness-Contour_1000to500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Thickness_1000to500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_TotalCloudCover The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_UpwardLongwaveRadiationFlux_NTAtm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_UpwardShortwaveRadiationFlux_NTAtm The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindDir_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindGust-Max_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindGust-Min_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindGust_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed-Contour_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_WindSpeed_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_10m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_40m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_80m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_Winds_120m The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS convective fields CAPS_3km_LiftedIndex-MU-VT-Contour_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_LiftedIndex-MU-VT_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_ShowalterIndex-Contour_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS_3km_ShowalterIndex_500mb The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml CAPS diagnostic fields CAPS_3km_PrecipType The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration. Prediction High resolution Deterministic Arctic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 43.936456 90.000000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.caps text/xml Oceanography Coastal Ice Ocean Prediction System for the East Coast of Canada (CIOPS-East) [2 km] CIOPS-East in 2 dimensions CIOPS-East_2km_MixedLayerThickness The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceAreaFraction The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceCompressiveStrength The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceDivergence The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceInternalPressure The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceShear The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceSnowTemp The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceSnowVol The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceVelocity The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceVelocityX The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceVelocityY The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaIceVol The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaSfcHeight The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaWaterPotentialTemp_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaWaterSalinity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaWaterVelocityX_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaWaterVelocityY_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_SeaWaterVelocity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_2km_TurboclineDepth The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_Footprint -180.000000 180.000000 -90.000000 90.000000 text/xml CIOPS-East in 3 dimensions Sea water potential temperature CIOPS-East_SeaWaterPotentialTemp_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterPotentialTemp_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water salinity CIOPS-East_SeaWaterSalinity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterSalinity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (X vector) CIOPS-East_SeaWaterVelocityX_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityX_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (Y vector) CIOPS-East_SeaWaterVelocityY_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocityY_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity CIOPS-East_SeaWaterVelocity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-East_SeaWaterVelocity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -77.015000 -37.025000 34.870000 54.470000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Coastal Ice Ocean Prediction System for the Salish Sea region (CIOPS-SalishSea) [0.5 km] CIOPS-SalishSea in 2 dimensions CIOPS-SalishSea_500m_MixedLayerThickness The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaSfcHeight The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaWaterPotentialTemp_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaWaterSalinity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaWaterVelocityX_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaWaterVelocityY_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_SeaWaterVelocity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_500m_TurboclineDepth The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_Footprint The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea in 3 dimensions Sea water potential temperature CIOPS-SalishSea_SeaWaterPotentialTemp_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterPotentialTemp_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water salinity CIOPS-SalishSea_SeaWaterSalinity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterSalinity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (X vector) CIOPS-SalishSea_SeaWaterVelocityX_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityX_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (Y vector) CIOPS-SalishSea_SeaWaterVelocityY_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocityY_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity CIOPS-SalishSea_SeaWaterVelocity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-SalishSea_SeaWaterVelocity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -126.204000 -121.109000 46.998000 50.994000 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_Footprint The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Coastal Ice Ocean Prediction System for the West Coast of Canada (CIOPS-West) [2 km] CIOPS-West in 2 dimensions CIOPS-West_2km_MixedLayerThickness The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaSfcHeight The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaWaterPotentialTemp_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaWaterSalinity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaWaterVelocityX_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaWaterVelocityY_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_SeaWaterVelocity_0.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_2km_TurboclineDepth The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West in 3 dimensions Sea water potential temperature CIOPS-West_SeaWaterPotentialTemp_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterPotentialTemp_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water salinity CIOPS-West_SeaWaterSalinity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterSalinity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (X vector) CIOPS-West_SeaWaterVelocityX_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityX_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity (Y vector) CIOPS-West_SeaWaterVelocityY_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocityY_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Sea water velocity CIOPS-West_SeaWaterVelocity_1.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_2.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_3.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_4.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_5.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_6.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_7.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_8.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_9.5m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_11m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_12m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_13m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_14m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_15m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_16m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_17m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_18m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_20m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_21m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_24m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_28m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_35m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_45m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_59m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_77m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_98m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_122m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_147m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_173m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_200m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_226m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_253m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_280m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_307m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_334m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_361m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_388m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml CIOPS-West_SeaWaterVelocity_415m The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only. Ocean Ice Coast Ice Tides Water Environmental emergencies Coastal waters Coasts Oceans -140.015000 -122.015000 44.290000 59.990000 2026-05-22T12:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-22T06:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.ciops text/xml Global Ice Ocean Prediction System in 2 dimensions (GIOPS.2D) [24 km] GIOPS_Footprint The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_DIVI The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_GE The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_GL The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_MLTW The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_MLW The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_SALW The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_SDV The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_SHRI The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_SIII The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_SSH The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_STGI The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_TM2 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_TMI The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_UU2W The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.2D_UUI The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml Global Ice Ocean Prediction System in 3 dimensions (GIOPS.3D) [24 km] Sea water salinity OCEAN.GIOPS.3D_SALW_0000 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0002 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0003 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0004 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0005 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0006 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0008 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0010 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0011 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0013 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0016 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0018 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0022 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0025 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0029 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0034 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0040 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0047 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0056 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0066 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0078 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0092 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0110 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0131 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0156 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0186 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0222 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0266 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0318 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0380 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0454 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0541 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0644 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0763 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_0902 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_1062 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_1245 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_1452 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_1684 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_1942 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_2225 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_2533 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_2866 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_3221 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_3597 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_3992 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_4405 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_4833 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_5275 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_SALW_5728 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml Sea water potential temperature OCEAN.GIOPS.3D_TM2_0000 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0002 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0003 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0004 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0005 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0006 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0008 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0010 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0011 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0013 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0016 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0018 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0022 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0025 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0029 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0034 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0040 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0047 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0056 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0066 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0078 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0092 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0110 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0131 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0156 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0186 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0222 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0266 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0318 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0380 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0454 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0541 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0644 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0763 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_0902 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_1062 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_1245 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_1452 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_1684 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_1942 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_2225 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_2533 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_2866 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_3221 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_3597 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_3992 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_4405 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_4833 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_5275 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_TM2_5728 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions -180.000000 180.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml Ocean current OCEAN.GIOPS.3D_UU2W_0000 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0002 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0003 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0004 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0005 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0006 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0008 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0010 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0011 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0013 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0016 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0018 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0022 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0025 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0029 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0034 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0040 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0047 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0056 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0066 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0078 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0092 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0110 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0131 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0156 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0186 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0222 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0266 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0318 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0380 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0454 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0541 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0644 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0763 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_0902 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_1062 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_1245 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_1452 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_1684 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_1942 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_2225 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_2533 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_2866 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_3221 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_3597 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_3992 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_4405 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_4833 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_5275 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml OCEAN.GIOPS.3D_UU2W_5728 The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions. Sea ice-ocean forecast Prediction Global Forecasting Ice Water Arctic Coastal waters Oceans Polar regions 0.000000 360.000000 -80.100000 89.900000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT24H 2026-05-18T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.giops text/xml Regional Ice Ocean Prediction System Non Coupled in 2 dimensions (RIOPS.2D) [5 km] RIOPS_IICECONC_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICEDIVERGENCE_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICEPRESSURE_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICESHEAR_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICESTRENGTH_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICESURFTEMP_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_IICEVOL_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_ISNOWVOL_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_SOKARAML_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_SOMIXHGT_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_SOSSHEIG_SFC The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-0.5m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-0.5m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml Regional Ice Ocean Prediction System Non Coupled in 3 dimensions (RIOPS.3D) [5 km] Sea water salinity RIOPS_VOSALINE_DBS-1.6m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2.7m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-0003.9m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5.1m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-6.5m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-8.1m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-9.8m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-12m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-14m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-17m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-19m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-23m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-27m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-31m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-36m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-41m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-47m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-54m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-61m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-69m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-78m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-87m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-97m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-108m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-120m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-133m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-147m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-163m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-181m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-200m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-221m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-245m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-271m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-301m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-334m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-371m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-412m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-458m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-509m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-565m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-628m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-697m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-773m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-857m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-947m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1046m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1152m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1266m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1387m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1516m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1653m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1796m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-1945m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2101m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2262m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2429m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2600m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2776m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-2956m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-3139m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-3325m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-3513m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-3705m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-3898m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-4093m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-4290m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-4488m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-4688m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-4888m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5089m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5292m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5495m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5698m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOSALINE_DBS-5902m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml Sea water potential temperature RIOPS_VOTEMPER_DBS-1.6m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2.7m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3.9m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5.1m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-6.5m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-8.1m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-9.8m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-12m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-14m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-17m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-19m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-23m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-27m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-31m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-36m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-41m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-47m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-54m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-61m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-69m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-78m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-87m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-97m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-108m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-120m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-133m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-147m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-163m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-181m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-200m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-221m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-245m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-271m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-301m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-334m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-371m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-412m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-458m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-509m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-565m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-628m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-697m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-773m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-857m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-947m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1046m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1152m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1266m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1387m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1516m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1653m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1796m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-1945m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2101m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2262m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2429m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2600m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2776m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-2956m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3139m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3325m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3513m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3705m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-3898m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-4093m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-4290m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-4488m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-4688m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-4888m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5089m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5292m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5495m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5698m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml RIOPS_VOTEMPER_DBS-5902m The Regional Ice Ocean Prediction System (RIOPS) provides ice and ocean forecasts up to 84 hours, four times per day on a 1/12° resolution grid (3-8 km). RIOPS is initialized using analyses from the Global Ice-Ocean Prediction System (GIOPS). Atmospheric fluxes up to 84 hours forecasts are calculated using fields from a component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution. RIOPS is based on the NEMO-CICE ice-ocean model and produces regional sea ice and ocean analyses and 2 day forecasts daily based at [00, 06, 12, 18] UTC. RIOPS includes a 3DVar ice concentration analysis (assimilating sattelite remote sensing and Canadian Ice Service ice charts) while the large scales of the ocean analysis are constrained by spectrally nudging the temperature and salinity fields to those of the CCMEP Global Ice Ocean Prediction System (which itself includes a full multivariate assimilation system that combines satellite observations with in situ observations). Sea ice-ocean forecast Prediction Regional Forecasting Ice Water Arctic Coastal waters Oceans Polar regions EPSG:102989 -180.000000 180.000000 28.896260 79.802488 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-22T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.riops text/xml Canadian Land Data Assimilation System - National Surface and River Prediction System (CaLDAS-NSRPS) [2.5 km] CaLDAS-NSRPS CaLDAS-NSRPS_2.5km_AirTemp_1.5m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_Dewpoint_1.5m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_RadiativeTemp CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SnowDepth CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SnowWaterEquiv CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_0.3m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_0.7m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_0.15m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_0.025m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_0.075m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_1.5m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_2.5km_SoilLiquidWaterCont_2.5m CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -154.214637 -39.823439 26.690736 71.049211 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T09:00:00Z/2026-05-22T18:00:00Z/PT3H urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml CaLDAS-NSRPS_Footprint CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC. Assimilation Prediction Land surface Soil moisture Dew point Surface radiative temperature Rivers Air temperature Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::caldas.nsrps text/xml Canadian Seasonal to Inter-annual Prediction System (CanSIPS) [100 km] Forecast Products Monthly Tercile probability Air temperature CanSIPS_100km_AirTemp-ProbAboveNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbBelowNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbNearNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Precipitation CanSIPS_100km_PrecipAccum-ProbAboveNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbBelowNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbNearNormal-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Exceedance probability Air temperature CanSIPS_100km_AirTemp-ProbGT10Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT20Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT30Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT40Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT50Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT60Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT70Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT80Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT90Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Precipitation CanSIPS_100km_PrecipAccum-ProbGT10Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT20Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT30Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT40Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT50Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT60Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT70Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT80Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT90Pct-2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Seasonal (3 months) Tercile probability Air temperature CanSIPS_100km_AirTemp-ProbAboveNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbBelowNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbNearNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Precipitation CanSIPS_100km_PrecipAccum-ProbAboveNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbBelowNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbNearNormal-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Exceedance probability Air temperature CanSIPS_100km_AirTemp-ProbGT10Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT20Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT30Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT40Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT50Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT60Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT70Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT80Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp-ProbGT90Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Precipitation CanSIPS_100km_PrecipAccum-ProbGT10Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT20Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT30Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT40Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT50Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT60Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT70Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT80Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccum-ProbGT90Pct-2m_PT3M The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2026-05-01T00:00:00Z/2027-02-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Members Air temperature at 2 m CanSIPS_100km_AirTemp_2m_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_2m_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Air temperature at 850 mb CanSIPS_100km_AirTemp_850mb_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_AirTemp_850mb_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Geopotential height at 500 mb CanSIPS_100km_GeopotentialHeight_500mb_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_GeopotentialHeight_500mb_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Precipitation rate CanSIPS_100km_PrecipRate_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipRate_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Sea level pressure CanSIPS_100km_Pressure_MSL_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Pressure_MSL_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Sea surface height relative to geoid CanSIPS_100km_SeaSfcHeight-Geoid_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_SeaSfcHeight-Geoid_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Water temperature CanSIPS_100km_WaterTemp_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_WaterTemp_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Winds at 200 mb CanSIPS_100km_Winds_200mb_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_200mb_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Winds at 850 mb CanSIPS_100km_Winds_850mb_Mem01 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem02 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem03 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem04 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem05 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem06 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem07 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem08 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem09 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem10 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem11 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem12 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem13 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem14 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem15 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem16 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem17 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem18 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem19 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem20 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem21 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem22 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem23 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem24 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem25 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem26 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem27 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem28 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem29 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem30 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem31 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem32 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem33 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem34 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem35 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem36 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem37 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem38 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem39 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_Winds_850mb_Mem40 The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.000000 90.000000 2026-05-01T00:00:00Z/2027-04-01T00:00:00Z/P1M 2025-06-01T00:00:00Z/2026-05-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Verification Products CanSIPS_100km_AirTempAnomaly-ERA5_2m The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2025-03-01T00:00:00Z/2026-02-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_100km_PrecipAccumAnomaly-ERA5_Sfc The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.500000 179.500000 -90.500000 90.500000 2025-03-01T00:00:00Z/2026-02-01T00:00:00Z/P1M urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml CanSIPS_Footprint The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly. Probabilistic predictions Weather forecasts Precipitation Air temperature Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.cansips.forecast text/xml Global Environmental eMuLator (GDPS-GEML) [25 km] [experimental] GDPS-GEML GDPS-GEML_25km_AirTemp-Contour_2m The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_2m The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Pressure_MSL The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Pressure_MSL-Contour The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_10m The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML at pressure levels 50 GDPS-GEML_25km_AirTemp-Contour_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_50mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 100 GDPS-GEML_25km_AirTemp-Contour_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_100mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 150 GDPS-GEML_25km_AirTemp-Contour_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_150mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 200 GDPS-GEML_25km_AirTemp-Contour_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_200mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 250 GDPS-GEML_25km_AirTemp-Contour_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_250mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 300 GDPS-GEML_25km_AirTemp-Contour_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_300mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 400 GDPS-GEML_25km_AirTemp-Contour_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_400mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 500 GDPS-GEML_25km_AirTemp-Contour_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_500mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 600 GDPS-GEML_25km_AirTemp-Contour_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_600mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 700 GDPS-GEML_25km_AirTemp-Contour_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_700mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 850 GDPS-GEML_25km_AirTemp-Contour_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_850mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 925 GDPS-GEML_25km_AirTemp-Contour_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_925mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml 1000 GDPS-GEML_25km_AirTemp-Contour_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_AirTemp_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential-Contour_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Geopotential_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_SpecificHumidity_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_VerticalVelocity_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml GDPS-GEML_25km_Winds_1000mb The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours. Prediction Global Emulator Artificial intelligence Weather forecasts Precipitation Air temperature Humidity Wind Meteorological data -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-22T00:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps.geml text/xml Global Deterministic Prediction System (GDPS) [15 km] GDPS-WEonG [experimental] GDPS-WEonG_15km_AirTemp Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_AirTemp.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_BlowingSnow-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_BlowingSnow-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_BlowingSnowPresence Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_BlowingSnowPresence.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DewPointTemp Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DewPointTemp-CONTOUR Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DewPointTemp.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DewPointTemp.3h-CONTOUR Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DominantPrecipType Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_DominantPrecipType.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Drizzle-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Drizzle-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingDrizzle-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingDrizzle-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingPrecip-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingPrecip-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingPrecipCondAmt Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingPrecipCondAmt.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingRain-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_FreezingRain-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IceFogVisibility Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IceFogVisibility.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IcePellets-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IcePellets-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IcePelletsCondAmt Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_IcePelletsCondAmt.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_InstantPrecipType Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_InstantPrecipType.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LandWater-Proportion Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LandWater-Proportion.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidFogVisibility Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidFogVisibility.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidPrecip-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidPrecip-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidPrecipCondAmt Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_LiquidPrecipCondAmt.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Orography Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Orography.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Precip-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Precip-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_PrecipCharacter Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_PrecipCharacter.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_PrecipCondAmt Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_PrecipCondAmt.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Rain-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Rain-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SecondMostCommonPrecipType Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SecondMostCommonPrecipType.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SkyState Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SkyState.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Snow-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Snow-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SnowLevelHeight Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SnowLevelHeight.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SnowSqualls-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SnowSqualls-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SolidSnowCondAmt Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_SolidSnowCondAmt.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Thunderstorm-Prob Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_Thunderstorm-Prob.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_TotalPrecipIntensityIndex Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_TotalPrecipIntensityIndex.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindDir Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindDir.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindGust Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindGust.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindSpeed Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindSpeed-Contour Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindSpeed.3h Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_15km_WindSpeed.3h-Contour Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS-WEonG_Footprint Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS). Prediction Global Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.weong-gdps text/xml GDPS convective fields GDPS.CONV_KINDEX.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_KINDEX.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_KINDEX.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_KINDEX.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LCL-HGT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LCL-HGT.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LCL-HGT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LCL-HGT.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.400.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.400.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.600.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.600.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.600.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.650.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.650.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.650.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.700.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.700.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.700.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.700.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.800.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.800.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-LI.800.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-PRC-DPT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-PRC-DPT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-PRC-TMP.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-PRC-TMP.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.400.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.400.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.600.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.600.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.600.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.650.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.650.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.650.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.700.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.700.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.700.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.700.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.800.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.800.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_ML-VT-LI.800.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LCL-HGT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LCL-HGT.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LCL-HGT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LCL-HGT.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-DPT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-DPT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-HGT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-HGT.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-HGT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-HGT.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-PRES.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-PRES.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-TMP.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-PRC-TMP.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_MU-VT-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LCL-HGT.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LCL-HGT.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LCL-HGT.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LCL-HGT.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CAPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CAPE.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CAPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CAPE.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CIN.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-CIN.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-EL-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-EL-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LFC-HGT.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LFC-HGT.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LFC-HGT.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LFC-HGT.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LI.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LI.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LI.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SFC-VT-LI.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SHWINX.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SHWINX.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SHWINX.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_SHWINX.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_TOTALX.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_TOTALX.PT3H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_TOTALX.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_TOTALX.PT6H-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_VT-SHWINX.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_VT-SHWINX.500.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_VT-SHWINX.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.CONV_VT-SHWINX.500.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS diagnostic fields GDPS.DIAG_FR_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_FR_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_FR_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_FR_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_FR_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_NW_PT120H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-27T12:00:00Z/2026-06-01T12:00:00Z/PT120H 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PE_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PE_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PE_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PE_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PE_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PR_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PR_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PR_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PR_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PR_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PTYPE.PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_PTYPE.PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_RN_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_RN_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_RN_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_RN_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_RN_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_SN_PT1H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_SN_PT3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_SN_PT6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_SN_PT12H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T00:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.DIAG_SN_PT24H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-23T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS GDPS.ETA_AB.3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AB.6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AD The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AI.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AI.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AL The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AS.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_AS.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_DN.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_DN.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_DZ The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_DZ-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_EI The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_ES The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_FC The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_FR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_FV The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_GZ The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_GZ-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HPBL The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HU The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HU_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HU_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HU_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_HU_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I0 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I0.100 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I1_0-0.01m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I2.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_I2.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_ICEC The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_IH.3H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_IH.6H The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_IUVA.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_IUVC.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_MGB The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_N4 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_NO.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_NO.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_NT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_O3DU The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_O3MixingRatio The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_P0 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_P0-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_PC The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_PE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_PN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_PN-SLP The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_PR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_RE.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_RE.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_RN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_RT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_SD The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_SKINT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_SN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T15:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_T7.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_T8.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TD The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TD-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TM The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_40m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_80m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_TT_120m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UU The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UU_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UU_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UU_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UVAX_00Z The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-05-31T18:00:00Z/PT24H 2026-05-21T00:00:00Z,2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UVAX_12Z The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-05-31T18:00:00Z/PT24H 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UVCX_00Z The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-05-31T18:00:00Z/PT24H 2026-05-21T00:00:00Z,2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_UVCX_12Z The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T18:00:00Z/2026-05-31T18:00:00Z/PT24H 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WD The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WD_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WD_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WD_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WGE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WGN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WGX The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_40m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_80m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.ETA_WSPD_120m-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.5.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.5.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.5.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.5.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.1.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.2.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.2.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z,2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.2.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_PVU.2.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.075000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS at pressure levels 10 GDPS.PRES_ES.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.10.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.10.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.10.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.10.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.10.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.10.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.10.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.10.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 20 GDPS.PRES_ES.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.20.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.20.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.20.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.20.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.20.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.20.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.20.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.20.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 30 GDPS.PRES_ES.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.30.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.30.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.30.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.30.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.30.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.30.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.30.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.30.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 50 GDPS.PRES_ES.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.50.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.50.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.50.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.50.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.50.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.50.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.50.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.50.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 100 GDPS.PRES_ES.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.100.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.100.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.100.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.100.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.100.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.100.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.100.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.100.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 150 GDPS.PRES_ES.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.150.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.150.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.150.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.150.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.150.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.150.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.150.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.150.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 175 GDPS.PRES_ES.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.175.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.175.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.175.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.175.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.175.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.175.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.175.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 200 GDPS.PRES_ES.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.200.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.200.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.200.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.200.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.200.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.200.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.200.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.200.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 225 GDPS.PRES_ES.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.225.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.225.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.225.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.225.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.225.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.225.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.225.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 250 GDPS.PRES_ES.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.250.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.250.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.250.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.250.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.250.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.250.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.250.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.250.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 275 GDPS.PRES_ES.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.275.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.275.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.275.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.275.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.275.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.275.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.275.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 300 GDPS.PRES_ES.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.300.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.300.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.300.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.300.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.300.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.300.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.300.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.300.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 350 GDPS.PRES_ES.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.350.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.350.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.350.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.350.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.350.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.350.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.350.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 400 GDPS.PRES_ES.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_ES.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.400.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.400.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.400.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.400.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.400.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.400.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.400.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.400.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 450 GDPS.PRES_ES.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.450.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.450.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.450.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.450.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.450.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.450.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.450.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 500 GDPS.PRES_ES.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.500-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.500.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.500.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.500-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.500 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.500-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 550 GDPS.PRES_ES.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.550.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.550.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.550.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.550.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.550.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.550.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.550.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 600 GDPS.PRES_ES.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.600.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.600.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.600.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.600.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.600.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.600.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.600.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.600.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 650 GDPS.PRES_ES.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.650.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.650.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.650.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.650.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.650.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.650.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.650.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 700 GDPS.PRES_ES.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.700-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.700.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.700.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.700.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.700.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.700-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.700 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.700-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 750 GDPS.PRES_ES.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.750.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.750.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.750.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.750.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.750.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.750.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.750.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 800 GDPS.PRES_ES.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.800.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.800.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.800.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.800.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.800.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.800.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.800.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 850 GDPS.PRES_ES.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.850-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.850.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.850.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.850.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_QQ.850.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.850-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WP.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.850 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.850-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 875 GDPS.PRES_ES.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.875.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.875.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.875.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.875.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.875.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.875.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.875.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 900 GDPS.PRES_ES.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.900.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.900.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.900.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.900.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.900.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.900.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.900.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 925 GDPS.PRES_ES.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.925-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.925.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.925.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.925-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.925 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.925-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 950 GDPS.PRES_ES.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.950.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.950.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.950.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.950.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.950.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.950.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.950.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 970 GDPS.PRES_ES.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.970.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.970.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.970.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.970.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.970.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.970.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.970.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 985 GDPS.PRES_ES.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.985.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.985.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.985.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.985.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.985.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.985.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.985.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1000 GDPS.PRES_ES.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1000-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.1000.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.1000.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1000-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1000 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1000-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1015 GDPS.PRES_ES.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1015.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1015.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1015.6h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HR.1015.6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1015.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1015.3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1015.3h-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-05-29T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1 GDPS.PRES_GZ.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.1-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.1-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.1-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 5 GDPS.PRES_GZ.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_GZ.5-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_HU.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_TT.5-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_UU.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WD.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS.PRES_WSPD.5-CONTOUR The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.240000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_Footprint The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml Global Deterministic Storm Surge Prediction System (GDSPS) [15 km] GDPSP_Footprint The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009). Storm surge Sea surface height Prediction Global Deterministic Forecasting Storms Water Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.gdsps text/xml GDSPS GDSPS_15km_SeaSfcHeight The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009). Storm surge Sea surface height Prediction Global Deterministic Forecasting Storms Water Seas -180.000000 180.000000 -90.000000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdsps text/xml GDSPS_15km_StormSurge The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009). Storm surge Sea surface height Prediction Global Deterministic Forecasting Storms Water Seas -180.000000 180.000000 -90.000000 90.000000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdsps text/xml Global Deterministic Prediction System (GDPS) [15 km] [experimental] GDPS at pressure levels 200 GDPS_15km_AbsoluteVorticity_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeVorticity_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_200mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 250 GDPS_15km_AbsoluteVorticity_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeVorticity_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_250mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 500 GDPS_15km_AbsoluteVorticity_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeVorticity_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 700 GDPS_15km_AbsoluteVorticity_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeVorticity_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 850 GDPS_15km_AbsoluteVorticity_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeVorticity_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1 GDPS_15km_AirTemp-Contour_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_1mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 5 GDPS_15km_AirTemp-Contour_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_5mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 10 GDPS_15km_AirTemp-Contour_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_10mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 20 GDPS_15km_AirTemp-Contour_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_20mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 30 GDPS_15km_AirTemp-Contour_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_30mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 50 GDPS_15km_AirTemp-Contour_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_50mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 100 GDPS_15km_AirTemp-Contour_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_100mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 150 GDPS_15km_AirTemp-Contour_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_150mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 175 GDPS_15km_AirTemp-Contour_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_175mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 225 GDPS_15km_AirTemp-Contour_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_225mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 275 GDPS_15km_AirTemp-Contour_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_275mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 300 GDPS_15km_AirTemp-Contour_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_300mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 350 GDPS_15km_AirTemp-Contour_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_350mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 400 GDPS_15km_AirTemp-Contour_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 450 GDPS_15km_AirTemp-Contour_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_450mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 550 GDPS_15km_AirTemp-Contour_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_550mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 600 GDPS_15km_AirTemp-Contour_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VerticalVelocity_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 650 GDPS_15km_AirTemp-Contour_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 750 GDPS_15km_AirTemp-Contour_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_750mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 800 GDPS_15km_AirTemp-Contour_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 875 GDPS_15km_AirTemp-Contour_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_875mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 900 GDPS_15km_AirTemp-Contour_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_900mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 925 GDPS_15km_AirTemp-Contour_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_925mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 950 GDPS_15km_AirTemp-Contour_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_950mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 970 GDPS_15km_AirTemp-Contour_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_970mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 985 GDPS_15km_AirTemp-Contour_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_985mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1000 GDPS_15km_AirTemp-Contour_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_1000mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml 1015 GDPS_15km_AirTemp-Contour_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_1015mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS GDPS_15km_AirTemp-Contour_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Contour_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Max_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp-Min_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_AirTemp_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Albedo The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_CloudWater_EAtm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ConvectivePrecip-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPoint-Contour_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPointDepression_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DewPoint_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DownwardLongwaveRadiationFlux-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DownwardShortwaveRadiationFlux-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_DownwardShortwaveRadiationFlux-Accum_NTAtm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum-1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum-3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum-6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum-12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_FreezingRain-Accum-24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_GeopotentialHeight-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Humidex The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum-1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum-3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum-6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum-12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_IcePellets-Accum-24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_LatentHeatNetFlux The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_NetLongwaveRadiationFlux-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_NetShortwaveRadiationFlux-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_O3MixingRatio The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_O3_EAtm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PlanetaryBoundaryLayerHeight The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Precip-Accum24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipRate The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-1 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-1-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-1.5 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-1.5-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-2 The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure-PVU-2-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure_MSL The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Pressure_MSL-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RadiativeTemp The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Rain-Accum24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_RelativeHumidity_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Runoff-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SeaIceFraction The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SeaWaterTemp The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SensibleHeatNetFlux The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Snow-Accum24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SnowDensity The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SnowDepth The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SoilTemp The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SoilTemp_0-10cm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SoilVolumetricIceContent The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SoilVolumetricWaterContent_0-1cm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SoilVolumetricWaterContent_0-10cm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_2m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SpecificHumidity_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness-Contour_850to700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness-Contour_1000to500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness-Contour_1000to850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness_850to700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness_1000to500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Thickness_1000to850mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_TotalCloudCover The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_UVIndex The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_UVIndex-ClearSky The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_UVIndex-ClearSky-Max24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z,2026-05-25T18:00:00Z,2026-05-26T18:00:00Z,2026-05-27T18:00:00Z,2026-05-28T18:00:00Z,2026-05-29T18:00:00Z,2026-05-30T18:00:00Z,2026-05-31T18:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_UVIndex-Max24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z,2026-05-25T18:00:00Z,2026-05-26T18:00:00Z,2026-05-27T18:00:00Z,2026-05-28T18:00:00Z,2026-05-29T18:00:00Z,2026-05-30T18:00:00Z,2026-05-31T18:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_UpwardLongwaveRadiationFlux_NTAtm The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindChill The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindDir_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindGust-Max_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindGust-Min_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindGust_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed-Contour_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_WindSpeed_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_10m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_40m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_80m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_Winds_120m The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS convective fields GDPS_15km_CAPE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_CAPE-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_CIN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_KIndex The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_KIndex-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_LiftedIndex-MU-VT-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_LiftedIndex-MU-VT_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-CAPE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-CAPE-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-CIN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-EL_HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LCL_HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LCL_HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LFC_HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LFC_HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI-Contour_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_400mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_600mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_650mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_700mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ML-LI_800mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-CAPE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-CAPE-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-CIN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-EL The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LCL-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LCL-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LFC-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LFC-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LI-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-LI_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-PRC-DPT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-PRC-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-PRC-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-PRC-PRES The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-PRC-TMP The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-CAPE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-CAPE-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-CIN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-EL-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-LFC-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_MU-VT-LFC-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-EL-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-LCL-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-LCL-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-LFC-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-LFC-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-CAPE The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-CAPE-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-CIN The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-EL-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-LFC-HGT The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-LFC-HGT-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-LI-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_SFC-VT-LI_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ShowalterIndex-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_ShowalterIndex_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_TotalTotalsIndex The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_TotalTotalsIndex-Contour The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VT-SHWINX-Contour_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_VT-SHWINX_500mb The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS diagnostic fields GDPS_15km_PrecipType-Instant The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T12:00:00Z,2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant1h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T13:00:00Z,2026-05-22T14:00:00Z,2026-05-22T15:00:00Z,2026-05-22T16:00:00Z,2026-05-22T17:00:00Z,2026-05-22T18:00:00Z,2026-05-22T19:00:00Z,2026-05-22T20:00:00Z,2026-05-22T21:00:00Z,2026-05-22T22:00:00Z,2026-05-22T23:00:00Z,2026-05-23T00:00:00Z,2026-05-23T01:00:00Z,2026-05-23T02:00:00Z,2026-05-23T03:00:00Z,2026-05-23T04:00:00Z,2026-05-23T05:00:00Z,2026-05-23T06:00:00Z,2026-05-23T07:00:00Z,2026-05-23T08:00:00Z,2026-05-23T09:00:00Z,2026-05-23T10:00:00Z,2026-05-23T11:00:00Z,2026-05-23T12:00:00Z,2026-05-23T13:00:00Z,2026-05-23T14:00:00Z,2026-05-23T15:00:00Z,2026-05-23T16:00:00Z,2026-05-23T17:00:00Z,2026-05-23T18:00:00Z,2026-05-23T19:00:00Z,2026-05-23T20:00:00Z,2026-05-23T21:00:00Z,2026-05-23T22:00:00Z,2026-05-23T23:00:00Z,2026-05-24T00:00:00Z,2026-05-24T01:00:00Z,2026-05-24T02:00:00Z,2026-05-24T03:00:00Z,2026-05-24T04:00:00Z,2026-05-24T05:00:00Z,2026-05-24T06:00:00Z,2026-05-24T07:00:00Z,2026-05-24T08:00:00Z,2026-05-24T09:00:00Z,2026-05-24T10:00:00Z,2026-05-24T11:00:00Z,2026-05-24T12:00:00Z,2026-05-24T13:00:00Z,2026-05-24T14:00:00Z,2026-05-24T15:00:00Z,2026-05-24T16:00:00Z,2026-05-24T17:00:00Z,2026-05-24T18:00:00Z,2026-05-24T19:00:00Z,2026-05-24T20:00:00Z,2026-05-24T21:00:00Z,2026-05-24T22:00:00Z,2026-05-24T23:00:00Z,2026-05-25T00:00:00Z,2026-05-25T01:00:00Z,2026-05-25T02:00:00Z,2026-05-25T03:00:00Z,2026-05-25T04:00:00Z,2026-05-25T05:00:00Z,2026-05-25T06:00:00Z,2026-05-25T07:00:00Z,2026-05-25T08:00:00Z,2026-05-25T09:00:00Z,2026-05-25T10:00:00Z,2026-05-25T11:00:00Z,2026-05-25T12:00:00Z,2026-05-25T13:00:00Z,2026-05-25T14:00:00Z,2026-05-25T15:00:00Z,2026-05-25T16:00:00Z,2026-05-25T17:00:00Z,2026-05-25T18:00:00Z,2026-05-25T19:00:00Z,2026-05-25T20:00:00Z,2026-05-25T21:00:00Z,2026-05-25T22:00:00Z,2026-05-25T23:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant3h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant6h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-22T18:00:00Z,2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant12h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T00:00:00Z,2026-05-23T06:00:00Z,2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant24h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-23T12:00:00Z,2026-05-23T18:00:00Z,2026-05-24T00:00:00Z,2026-05-24T06:00:00Z,2026-05-24T12:00:00Z,2026-05-24T18:00:00Z,2026-05-25T00:00:00Z,2026-05-25T06:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml GDPS_15km_PrecipType-Significant120h The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. Prediction Global Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.075000 179.925000 -90.075000 90.750000 2026-05-27T12:00:00Z,2026-06-01T12:00:00Z 2026-05-19T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdps text/xml Wave Prediction Global Deterministic Wave Prediction System (GDWPS) [25 km] GDWPS_25km_HTSGW_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_HTSGW_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_ICEC_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_ICEC_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MWDFSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MWDFSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MWDSSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MWDSSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MZWPER_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_MZWPER_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PPERWW_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PPERWW_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWAVEDIR_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWAVEDIR_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPER_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPER_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPFSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPFSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPSSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_PWPSSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_SWHFSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_SWHFSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_SWHSSWEL_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_SWHSSWEL_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_WVDIR_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_WVDIR_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_WVHGT_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_WVHGT_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_Winds_10m_PT1H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_25km_Winds_10m_PT3H The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-01T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml GDWPS_Footprint The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period. Waves Swell Prediction Global Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.gdwps text/xml Global Ensemble Wave Prediction System (GEWPS) [25 km] GEWPS_25km_FirstSwellMeanWaveDir_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellMeanWaveDir_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellPeakWavePeriod_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_FirstSwellSignificantWaveHeight_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_MeanZeroCrossingWavePeriod_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWaveDir_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_PeakWavePeriod_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellMeanWaveDir_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellPeakWavePeriod_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SecondSwellSignificantWaveHeight_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_SignificantWaveHeight_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesDir_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesPeakPeriod_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_01 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_02 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_03 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_04 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_05 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_06 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_07 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_08 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_09 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_10 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_11 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_12 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_13 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_14 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_15 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_16 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_17 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_18 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_19 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_20 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_25km_WindWavesSignificantHeight_21 The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.125000 179.875000 -90.125000 90.125000 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml GEWPS_Footprint The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. Waves Swell Prediction Global Ensemble Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.gewps text/xml Regional Deterministic Wave Prediction System (RDWPS) [1 km] RDWPS-Erie_Footprint The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Huron-Michigan_Footprint The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Great Lakes Erie RDWPS-Lake-Erie_1km_HTSGW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_ICEC The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_MWDFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_MWDSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_MZWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_PPERWW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_PWAVEDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_PWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_PWPFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_PWPSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_SWHFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_SWHSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_WVDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Erie_1km_WVHGT The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -83.613011 -78.681791 41.214501 43.104081 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Huron-Michigan RDWPS-Lake-Huron-Michigan_1km_HTSGW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_ICEC The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_MWDFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_MWDSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_MZWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_PPERWW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_PWAVEDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_PWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_PWPFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_PWPSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_SWHFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_SWHSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_WVDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Huron-Michigan_1km_WVHGT The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -88.151411 -79.503191 41.421501 46.577355 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Ontario RDWPS-Lake-Ontario_1km_HTSGW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_ICEC The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_MWDFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_MWDSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_MZWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_PPERWW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_PWAVEDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_PWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_PWPFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_PWPSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_SWHFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_SWHSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_WVDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Ontario_1km_WVHGT The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -79.979795 -75.668075 43.059501 44.481185 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Superior RDWPS-Lake-Superior_1km_HTSGW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_ICEC The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_MWDFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_MWDSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_MZWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_PPERWW The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_PWAVEDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_PWPER The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_PWPFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_PWPSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_SWHFSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_SWHSSWEL The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_WVDIR The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Lake-Superior_1km_WVHGT The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -92.317811 -84.165191 46.254501 49.115865 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-National_Footprint The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Ontario_Footprint The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS-Superior_Footprint The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Regional Deterministic Wave Prediction System (RDWPS) [2.5 km] RDWPS_2.5km_FirstSwellMeanWaveDir The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_FirstSwellPeakWavePeriod The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_FirstSwellSignificantWaveHeight The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_IceFraction The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_MeanZeroCrossingWavePeriod The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_PeakWaveDir The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_PeakWavePeriod The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_SecondSwellMeanWaveDir The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_SecondSwellPeakWavePeriod The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_SecondSwellSignificantWaveHeight The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_SignificantWaveHeight The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_WindWavesDir The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_WindWavesPeakPeriod The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml RDWPS_2.5km_WindWavesSignificantHeight The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East. Waves Swell Prediction Regional Deterministic Forecasting Water Oceans Ocean energy Seas -152.618155 -40.774502 27.337627 70.571031 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdwps text/xml Regional Ensemble Wave Prediction System (REWPS) [2.5 km] REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellMeanWaveDir_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellPeakWavePeriod_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_FirstSwellSignificantWaveHeight_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_MeanZeroCrossingWavePeriod_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWaveDir_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_PeakWavePeriod_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellMeanWaveDir_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellPeakWavePeriod_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SecondSwellSignificantWaveHeight_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_SignificantWaveHeight_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesDir_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesPeakPeriod_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_01 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_02 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_03 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_04 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_05 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_06 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_07 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_08 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_09 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_10 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_11 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_12 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_13 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_14 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_15 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_16 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_17 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_18 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_19 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_20 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS-Great-Lakes_2.5km_WindWavesSignificantHeight_21 The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -92.494511 -75.441761 41.087201 49.262836 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml REWPS_Footprint The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain. Waves Swell Prediction Regional Ensemble Forecasting Water Oceans Ocean energy Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rewps text/xml Global Ensemble Prediction System (GEPS) [50 km] GEPS products Wind gust at 10 m GEPS.DIAG.3_GUST-15MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST-25MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST-35MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_GUST.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST-15MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST-25MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST-35MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_GUST.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_GUST-10MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_GUST-15MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_GUST-25MS.PROB The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Humidex at 2 m GEPS.DIAG.3_HMX.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_HMX.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE35 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE38 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERGE42 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_HMXX.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Total cloud cover GEPS.DIAG.3_NT.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_NT.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Air temperature at 2 m GEPS.DIAG.3_TT.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_TT.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-35 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERLE-40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T7.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE35 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERGE-30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_T8.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Wind speed at 10 m GEPS.DIAG.3_UVMX.ERGE36 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_UVMX.ERGE54 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_UVMX.ERGE72 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_UVMX.ERGE90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-05-25T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WSPD.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_UVMX.ERGE36 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_UVMX.ERGE54 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_UVMX.ERGE72 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_UVMX.ERGE90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z/2026-06-07T12:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE36 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE37 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE54 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE62 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE65 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE88 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERGE118 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_UVMX.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Wind chill factor at 2 m GEPS.DIAG.3_WCF.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.3_WCF.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z/2026-06-07T12:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE35 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE45 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_WCFMIN.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Ice pellets GEPS.DIAG.6_PEMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PEMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PEMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PEMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PEMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PEMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PEMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Precipitation GEPS.DIAG.6_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERGE200 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERGE200 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.48_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-24T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERGE200 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.72_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-25T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERGE200 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.96_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-26T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERGE200 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.120_PRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-27T12:00:00Z/2026-06-07T12:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Snow GEPS.DIAG.6_SNMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_SNMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_SNMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_SNMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.6_SNMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_SNMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_SNMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Freezing rain GEPS.DIAG.12_FRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_FRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_FRMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Rain GEPS.DIAG.12_RNMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.12_RNMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T00:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC90 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE1 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE2.5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE5 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE10 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE15 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE20 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE30 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE40 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERGE150 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG.24_RNMM.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-23T12:00:00Z/2026-06-07T12:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Geopotential height at 500 mb GEPS.DIAG_GZ.500.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_GZ.500.ERMEAN-CONTOUR The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_GZ.500.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml CAPE for the most unstable parcel GEPS.DIAG_MUCAPE.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_MUCAPE.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_MUCAPE.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_MUCAPE.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_MUCAPE.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Sea level pressure GEPS.DIAG_PN.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_PN.ERMEAN-CONTOUR The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_PN.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Air temperature at 850 mb GEPS.DIAG_TT_850.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_TT_850.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_TT_850.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_TT_850.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_TT_850.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Vertical wind shear between 850 mb and 250 mb GEPS.DIAG_VWSH.850-250.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.850-250.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.850-250.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.850-250.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.850-250.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Vertical wind shear between 925 mb and 700 mb GEPS.DIAG_VWSH.925-700.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.925-700.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.925-700.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.925-700.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_VWSH.925-700.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T18:00:00Z,2026-05-26T00:00:00Z,2026-05-26T06:00:00Z,2026-05-26T12:00:00Z,2026-05-26T18:00:00Z,2026-05-27T00:00:00Z,2026-05-27T06:00:00Z,2026-05-27T12:00:00Z,2026-05-27T18:00:00Z,2026-05-28T00:00:00Z,2026-05-28T06:00:00Z,2026-05-28T12:00:00Z,2026-05-28T18:00:00Z,2026-05-29T00:00:00Z,2026-05-29T06:00:00Z,2026-05-29T12:00:00Z,2026-05-29T18:00:00Z,2026-05-30T00:00:00Z,2026-05-30T06:00:00Z,2026-05-30T12:00:00Z,2026-05-30T18:00:00Z,2026-05-31T00:00:00Z,2026-05-31T06:00:00Z,2026-05-31T12:00:00Z,2026-05-31T18:00:00Z,2026-06-01T00:00:00Z,2026-06-01T06:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Wind speed at 250 mb GEPS.DIAG_WSPD_250.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_250.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Wind speed at 850 mb GEPS.DIAG_WSPD_850.ERC0 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERC25 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERC50 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERC75 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERC100 The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERMEAN The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS.DIAG_WSPD_850.ERSSTD The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.250000 179.750000 -90.250000 89.750000 2026-05-22T15:00:00Z,2026-05-22T18:00:00Z,2026-05-22T21:00:00Z,2026-05-23T00:00:00Z,2026-05-23T03:00:00Z,2026-05-23T06:00:00Z,2026-05-23T09:00:00Z,2026-05-23T12:00:00Z,2026-05-23T15:00:00Z,2026-05-23T18:00:00Z,2026-05-23T21:00:00Z,2026-05-24T00:00:00Z,2026-05-24T03:00:00Z,2026-05-24T06:00:00Z,2026-05-24T09:00:00Z,2026-05-24T12:00:00Z,2026-05-24T15:00:00Z,2026-05-24T18:00:00Z,2026-05-24T21:00:00Z,2026-05-25T00:00:00Z,2026-05-25T03:00:00Z,2026-05-25T06:00:00Z,2026-05-25T09:00:00Z,2026-05-25T12:00:00Z,2026-05-25T15:00:00Z,2026-05-25T18:00:00Z,2026-05-25T21:00:00Z,2026-05-26T00:00:00Z,2026-05-26T03:00:00Z,2026-05-26T06:00:00Z,2026-05-26T09:00:00Z,2026-05-26T12:00:00Z,2026-05-26T15:00:00Z,2026-05-26T18:00:00Z,2026-05-26T21:00:00Z,2026-05-27T00:00:00Z,2026-05-27T03:00:00Z,2026-05-27T06:00:00Z,2026-05-27T09:00:00Z,2026-05-27T12:00:00Z,2026-05-27T15:00:00Z,2026-05-27T18:00:00Z,2026-05-27T21:00:00Z,2026-05-28T00:00:00Z,2026-05-28T03:00:00Z,2026-05-28T06:00:00Z,2026-05-28T09:00:00Z,2026-05-28T12:00:00Z,2026-05-28T15:00:00Z,2026-05-28T18:00:00Z,2026-05-28T21:00:00Z,2026-05-29T00:00:00Z,2026-05-29T03:00:00Z,2026-05-29T06:00:00Z,2026-05-29T09:00:00Z,2026-05-29T12:00:00Z,2026-05-29T15:00:00Z,2026-05-29T18:00:00Z,2026-05-29T21:00:00Z,2026-05-30T00:00:00Z,2026-05-30T03:00:00Z,2026-05-30T06:00:00Z,2026-05-30T09:00:00Z,2026-05-30T12:00:00Z,2026-05-30T15:00:00Z,2026-05-30T18:00:00Z,2026-05-30T21:00:00Z,2026-05-31T00:00:00Z,2026-05-31T03:00:00Z,2026-05-31T06:00:00Z,2026-05-31T09:00:00Z,2026-05-31T12:00:00Z,2026-05-31T15:00:00Z,2026-05-31T18:00:00Z,2026-05-31T21:00:00Z,2026-06-01T00:00:00Z,2026-06-01T03:00:00Z,2026-06-01T06:00:00Z,2026-06-01T09:00:00Z,2026-06-01T12:00:00Z,2026-06-01T18:00:00Z,2026-06-02T00:00:00Z,2026-06-02T06:00:00Z,2026-06-02T12:00:00Z,2026-06-02T18:00:00Z,2026-06-03T00:00:00Z,2026-06-03T06:00:00Z,2026-06-03T12:00:00Z,2026-06-03T18:00:00Z,2026-06-04T00:00:00Z,2026-06-04T06:00:00Z,2026-06-04T12:00:00Z,2026-06-04T18:00:00Z,2026-06-05T00:00:00Z,2026-06-05T06:00:00Z,2026-06-05T12:00:00Z,2026-06-05T18:00:00Z,2026-06-06T00:00:00Z,2026-06-06T06:00:00Z,2026-06-06T12:00:00Z,2026-06-06T18:00:00Z,2026-06-07T00:00:00Z,2026-06-07T06:00:00Z,2026-06-07T12:00:00Z 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml GEPS_Footprint The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Probabilistic predictions Global Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.geps text/xml Satellite Imagery Geostationary Operational Environmental Satellite (GOES) East GOES-East_1km_DayCloudType-NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:10:00Z/2026-05-22T22:10:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_DayLandCloudFire-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_DayVis These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_DayVis-NightIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_FireTemperature-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_NaturalColor These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_SmokeABIband1-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_SnowFog-NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_1km_VisibleIRSandwich-NightMicrophysicsIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_2km_Ash These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_2km_Dust These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_2km_NightIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_2km_NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml GOES-East_2km_SO2 These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -152.800553 2.800553 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.east text/xml West GOES-West_1km_DayCloudType-NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:10:00Z/2026-05-22T22:10:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_DayLandCloudFire-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_DayVis These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_DayVis-NightIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:10:00Z/2026-05-22T22:10:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_FireTemperature-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_NaturalColor These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_SmokeABIband1-SWIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_SnowFog-NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_1km_VisibleIRSandwich-NightMicrophysicsIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:10:00Z/2026-05-22T22:10:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_2km_Ash These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_2km_Dust These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_2km_NightIR These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_2km_NightMicrophysics These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml GOES-West_2km_SO2 These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases. Atmospheric conditions Visible Infrared Clouds and weather Aviation weather Convective weather Fire weather Fog and low stratus Snow and ice Earth observation Satellite images Remote sensing Meteorology -214.800553 -59.199447 -44.372890 44.372890 2026-05-20T16:20:00Z/2026-05-22T22:20:00Z/PT10M urn:x-msc-smc:md:weather-meteo::satellite.goes.west text/xml High Resolution Deterministic Land Surface Prediction System (HRDLPS) [2.5 km] HRDLPS HRDLPS_2.5km_AirTemp The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_DewPointTemp The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_DrainageAmountThroughBaseOfSoil The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_LandEvap The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_LateralSubsurfaceRunoffAmt The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_Orography The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-22T12:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_RadiativeTemp The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_0.3m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_0.7m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_0.15m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_0.025m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_0.075m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_1.5m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SoilLiquidWaterCont_2.5m The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T12:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SurfaceRunoffAmtAllSurfaceTypes The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SurfaceRunoffAmtGlaciers The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SurfaceRunoffAmtSeaIce The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SurfaceRunoffAmtSoil The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml HRDLPS_2.5km_SurfaceRunoffAmtWater The High Resolution Deterministic Land Prediction System (HRDLPS) produces high-resolution medium-range forecasts of land surface, subsurface variables, and of near-surface atmospheric variables (1.5 m temperature and dewpoint). HRDLPS is initialized with analysis and trial fields provided by the Canadian Land Data Assimilation System of the National Surface and River Prediction System (CaLDAS-NSRPS). The system is then driven with atmospheric forecasts provided by the HRDPS over the first two days of integration and by the GDPS over the next four days. Predictions are performed twice a day. The system runs on a grid with a 2.5 km horizontal spacing covering Canada and part of the USA. Prediction High resolution Deterministic Land surface Weather forecasts Temperature Drainage Soil Inland waters Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T13:00:00Z/2026-05-28T12:00:00Z/PT1H 2026-05-21T00:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.hrdlps text/xml Precipitation Analysis High Resolution Deterministic Precipitation Analysis (HRDPA) [2.5 km] HRDPA-Prelim_2.5km_Precip-Accum6h The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA-Prelim_2.5km_Precip-Accum24h-T06Z The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T06:00:00Z/2026-05-22T06:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA-Prelim_2.5km_Precip-Accum24h-T12Z The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T12:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA.06F_WATERSHED The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -169.198174 -15.259523 35.631576 83.423861 urn:x-msc-smc:md:weather-meteo::hrdpa-watershed text/xml HRDPA.06P_WATERSHED The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -169.198174 -15.259523 35.631576 83.423861 urn:x-msc-smc:md:weather-meteo::hrdpa-watershed text/xml HRDPA.24F_WATERSHED The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -169.198174 -15.259523 35.631576 83.423861 urn:x-msc-smc:md:weather-meteo::hrdpa-watershed text/xml HRDPA.24P_WATERSHED The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -169.198174 -15.259523 35.631576 83.423861 urn:x-msc-smc:md:weather-meteo::hrdpa-watershed text/xml HRDPA_2.5km_Precip-Accum6h The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T00:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA_2.5km_Precip-Accum24h-T06Z The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T06:00:00Z/2026-05-22T06:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA_2.5km_Precip-Accum24h-T12Z The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -133.700000 -40.700000 27.300000 66.600000 2026-04-21T12:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::hrdpa text/xml HRDPA_Footprint The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hrdpa text/xml High Resolution Ensemble Precipitation Analysis (HREPA) [2.5 km] HREPA.6P_2.5km_01 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_02 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_03 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_04 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_05 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_06 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_07 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_08 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_09 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_10 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_11 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_12 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_13 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_14 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_15 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_16 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_17 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_18 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_19 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_20 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_21 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_22 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_23 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_24 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_25 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_PCT25 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml HREPA.6P_2.5km_PCT75 The High Resolution Ensemble Precipitation Analysis (HREPA) is part of the NSRPS (National Surface and River Prediction System) system dependent on two other systems. It uses surface station observations and radar QPEs pre-processed by the High Resolution Deterministic Precipitation Analysis (HRDPA) and disturbed trial fields generated by the Canadian Land Data Assimilation System (CaLDAS). HREPA produces four precipitation analyses per day on 6-hour accumulations valid at synoptic times (00, 06, 12, and 18 UTC). Each analysis set contains 24 members plus the control member. A quality index (confidence index) is also available on the same grid as the precipitation fields. Finally, two percentiles, 25th and 75th, estimated on these sets are also provided for each synoptic hour. Currently, there is only a high-resolution version of the system, whose domain covers Canada and the northern United States with a horizontal resolution of about 2.5km. Ensemble High-Resolution Precipitation Analysis -148.962739 -43.043008 28.863508 66.123597 2026-05-15T12:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::hrepa text/xml Regional Deterministic Precipitation Analysis (RDPA) [10 km] RDPA-Prelim_10km_Precip-Accum6h The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2026-04-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA-Prelim_10km_Precip-Accum24h-T06Z The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2026-04-21T06:00:00Z/2026-05-22T06:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA-Prelim_10km_Precip-Accum24h-T12Z The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2026-04-21T12:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.6F_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 17.299441 90.000000 2012-10-03T06:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.6P_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 18.629143 90.000000 2026-04-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.24F_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 17.299441 90.000000 2012-10-03T12:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.24P_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 18.629143 90.000000 2026-04-21T06:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.ARC_15km.6F_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 24.469144 90.000000 2011-04-06T00:00:00Z/2012-10-03T00:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA.ARC_15km.24F_PR The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102997 -180.000000 180.000000 24.469144 90.000000 2011-04-06T12:00:00Z/2012-10-02T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA_10km_Precip-Accum6h The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2023-06-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA_10km_Precip-Accum24h-T06Z The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2023-06-22T06:00:00Z/2026-05-22T06:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml RDPA_10km_Precip-Accum24h-T12Z The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km. Data is only available for the surface level. Analysis data is made available four times a day for 6h intervals and twice a day for the 24h interval. A preliminary estimate is available approximately 1h after the end of the accumulation period, and revised 7h after in order to assimilate gauge data arriving later. Quantity of precipitation Analysis Forecasting Precipitation Meteorological data Measurement Radar Satellite imagery EPSG:102978 -180.000000 180.000000 -3.856571 90.000000 2023-06-21T12:00:00Z/2026-05-22T12:00:00Z/PT24H urn:x-msc-smc:md:weather-meteo::rdpa text/xml High Resolution Deterministic Prediction System (HRDPS) [2.5 km] HRDPS-Continental_Footprint The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS-WEonG HRDPS-WEonG_2.5km_AirTemp Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_BlowingSnow-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_BlowingSnowPresence Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_DewPointTemp Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_DewPointTemp-CONTOUR Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_DominantPrecipType Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Drizzle-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_FreezingDrizzle-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_FreezingPrecip-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_FreezingPrecipCondAmt Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_FreezingRain-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_IceFogVisibility Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_IcePellets-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_IcePelletsCondAmt Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_InstantPrecipType Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_LandWater-Proportion Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_LiquidFogVisibility Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_LiquidPrecip-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_LiquidPrecipCondAmt Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Orography Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Precip-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_PrecipCharacter Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_PrecipCondAmt Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Rain-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_SecondMostCommonPrecipType Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_SkyState Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Snow-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_SnowLevelHeight Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_SnowSqualls-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_SolidSnowCondAmt Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_Thunderstorm-Prob Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_TotalPrecipIntensityIndex Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_WindDir Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_WindGust Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_2.5km_WindSpeed Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS-WEonG_Footprint Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT). Prediction High resolution Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.weong-hrdps text/xml HRDPS convective fields HRDPS.CONTINENTAL.CONV_ML-LI.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.400-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.600-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.650-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.700-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-LI.800-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.400-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.600-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.650-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.700-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_ML-VT-LI.800-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_MU-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_MU-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_MU-VT-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_MU-VT-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SFC-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SFC-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SFC-VT-LI.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SFC-VT-LI.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SHWINX.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SHWINX.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SSI The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_SWEAT The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_VT-SHWINX.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_VT-SHWINX.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.CONV_VWSH.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS diagnostic fields HRDPS.CONTINENTAL.DIAG_FR_PT1H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_FR_PT3H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T21:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_FR_PT6H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T00:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_FR_PT12H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T06:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_FR_PT24H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PE_PT1H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PE_PT3H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T21:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PE_PT6H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T00:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PE_PT12H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T06:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PE_PT24H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PR_PT1H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PR_PT3H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T21:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PR_PT6H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T00:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PR_PT12H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T06:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PR_PT24H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_PTYPE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_RN_PT1H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_RN_PT3H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T21:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_RN_PT6H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T00:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_RN_PT12H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T06:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_RN_PT24H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_SN_PT1H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_SN_PT3H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T21:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_SN_PT6H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T00:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_SN_PT12H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T06:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.DIAG_SN_PT24H The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-23T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS at pressure levels 50 HRDPS.CONTINENTAL.PRES_ES.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.50-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.50-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.50 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.50-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 100 HRDPS.CONTINENTAL.PRES_ES.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.100-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.100-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.100 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.100-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 150 HRDPS.CONTINENTAL.PRES_ES.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.150-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.150-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.150 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.150-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 175 HRDPS.CONTINENTAL.PRES_ES.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.175-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.175-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.175 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.175-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 200 HRDPS.CONTINENTAL.PRES_ES.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.200-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.200-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.200 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.200-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 225 HRDPS.CONTINENTAL.PRES_ES.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.225-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.225-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.225 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.225-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 250 HRDPS.CONTINENTAL.PRES_ES.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.250-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_QQ.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.250-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WP.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.250 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.250-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 275 HRDPS.CONTINENTAL.PRES_ES.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.275-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.275-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.275 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.275-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 300 HRDPS.CONTINENTAL.PRES_ES.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.300-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.300-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.300 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.300-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 350 HRDPS.CONTINENTAL.PRES_ES.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.350-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.350-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.350 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.350-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 400 HRDPS.CONTINENTAL.PRES_ES.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.400-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.400-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.400 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.400-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 450 HRDPS.CONTINENTAL.PRES_ES.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.450-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.450-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.450 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.450-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 500 HRDPS.CONTINENTAL.PRES_ES.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_QQ.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WP.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.500 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.500-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 550 HRDPS.CONTINENTAL.PRES_ES.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.550-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.550-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.550 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.550-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 600 HRDPS.CONTINENTAL.PRES_ES.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.600-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.600-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.600 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.600-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 650 HRDPS.CONTINENTAL.PRES_ES.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.650-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.650-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.650 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.650-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 700 HRDPS.CONTINENTAL.PRES_ES.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.700-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_QQ.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.700-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WP.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.700 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.700-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 750 HRDPS.CONTINENTAL.PRES_ES.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.750-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.750-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.750 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.750-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 800 HRDPS.CONTINENTAL.PRES_ES.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.800-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.800-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.800 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.800-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 850 HRDPS.CONTINENTAL.PRES_ES.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.850-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_QQ.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.850-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WP.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.850 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.850-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 875 HRDPS.CONTINENTAL.PRES_ES.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.875-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.875-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.875 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.875-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 900 HRDPS.CONTINENTAL.PRES_ES.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.900-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.900-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.900 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.900-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 925 HRDPS.CONTINENTAL.PRES_ES.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.925-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.925-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.925 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.925-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 950 HRDPS.CONTINENTAL.PRES_ES.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.950-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.950-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.950 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.950-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 970 HRDPS.CONTINENTAL.PRES_ES.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.970-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.970-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.970 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.970-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 985 HRDPS.CONTINENTAL.PRES_ES.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.985-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.985-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.985 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.985-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 1000 HRDPS.CONTINENTAL.PRES_ES.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.1000-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_QQ.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.1000-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WP.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.1000 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.1000-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml 1015 HRDPS.CONTINENTAL.PRES_ES.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_GZ.1015-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HR.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_HU.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_TT.1015-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_UU.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WD.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.1015 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL.PRES_WSPD.1015-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS HRDPS.CONTINENTAL_AB The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_AD The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_AI The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_AL The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_AS The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_BE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_BE-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_CVI The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DN The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ_850-700mb The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ_850-700mb-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ_1000-850mb The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_DZ_1000-850mb-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_EI The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_ES The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_ES_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_ES_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_ES_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_EV The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_FC The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_FR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_FV The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_GZ The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_GZ-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HL The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HMX The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HPBL The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HR_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HR_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HR_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HU The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HU_2m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HU_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HU_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_HU_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_I0 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_I0_0-10cm The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_I1 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_I1_0-1cm The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_I2 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_ICEC The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_IH The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_IUVA The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_IUVC The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_M3_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_M3_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_M3_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_MGB The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_N4 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_NO The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_NT The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_P0 The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_P0-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_PC The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_PE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_PN The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_PN-SLP The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_PR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_RE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_RN The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_RT The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_SD The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_SDWE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_SKINT The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_SN The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T19:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_40m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_80m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TD_120m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TM The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_40m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_80m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_TT_120m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UTCI The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UU The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UU_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UU_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UU_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVAX_00Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVAX_06Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T06:00:00Z,2026-05-22T06:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVAX_12Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVAX_18Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T18:00:00Z,2026-05-22T18:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVCX_00Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVCX_06Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T06:00:00Z,2026-05-22T06:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVCX_12Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_UVCX_18Z The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-23T18:00:00Z/PT24H 2026-05-21T18:00:00Z,2026-05-22T18:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WD The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WD_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WD_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WD_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WGE The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WGN The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WGX The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_40m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_40m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_80m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_80m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_120m The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml HRDPS.CONTINENTAL_WSPD_120m-CONTOUR The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day. Prediction High resolution Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -152.768527 -40.693803 27.284015 70.616483 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.hrdps text/xml Hurricane Prediction Active Hurricanes HURRICANE_CENTRE Hurricane tracks and the hurricane response zone are issued by the Canadian Hurricane Centre, which provides track forecasts for tropical and post-tropical cyclones that pose a threat to Canada during the hurricane season, from June to November. Hurricane centre Weather warnings Precipitation Wind Storms Floods -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hurricane.tracks text/xml HURRICANE_ERR Hurricane tracks and the hurricane response zone are issued by the Canadian Hurricane Centre, which provides track forecasts for tropical and post-tropical cyclones that pose a threat to Canada during the hurricane season, from June to November. Hurricane centre Weather warnings Precipitation Wind Storms Floods -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hurricane.tracks text/xml HURRICANE_LINE Hurricane tracks and the hurricane response zone are issued by the Canadian Hurricane Centre, which provides track forecasts for tropical and post-tropical cyclones that pose a threat to Canada during the hurricane season, from June to November. Hurricane centre Weather warnings Precipitation Wind Storms Floods -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hurricane.tracks text/xml HURRICANE_RAD Hurricane tracks and the hurricane response zone are issued by the Canadian Hurricane Centre, which provides track forecasts for tropical and post-tropical cyclones that pose a threat to Canada during the hurricane season, from June to November. Hurricane centre Weather warnings Precipitation Wind Storms Floods -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hurricane.tracks text/xml HURRICANE_RESPONSE_ZONE Hurricane tracks and the hurricane response zone are issued by the Canadian Hurricane Centre, which provides track forecasts for tropical and post-tropical cyclones that pose a threat to Canada during the hurricane season, from June to November. Hurricane centre Weather warnings Precipitation Wind Storms Floods -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::hurricane.tracks text/xml Operational Hydrodynamic Prediction System (OHPS) [100m] OHPS OHPS_100m_RiverVelocity The Operational Hydrodynamic Prediction System (OHPS) is a 2D hydrodynamic prediction system for the St. Lawrence River and fluvial estuary. It helps to better understand flows impacting the St. Lawrence ecosystem and serves as a decision-making tool for the integrated management of the St-Lawrence. Three components are integrated in OHPS system. The first one "steadysol" conducts daily steady-state flow analyses, 4 times per day at 00Z, 06Z, 12Z and 18Z, respectively, over a simulation domain extending from Montreal to Trois-Rivières. The second and third components, i.e. "analysis" and "forecast", provide continuous analyses and 48-hrs forecasts, respectively, for unsteady flows over an extended St. Lawrence domain of which the upstream boundaries locate in Carillon and Beauharnois while the downstream tidal boundary is near Saint-Joseph-de-la-Rive, respectively, 4 times a day at 00Z, 06Z, 12Z and 18Z. The system provides high-resolution outcomes for various parameters such as water levels, depth-averaged velocities and derived attributes, over the simulated domains. The products are available in the NetCDF format, which provides datasets. The published datasets of "steadysol" is over an irregular triangulated mesh, while the datasets of "analysis" and "forecast" are over a Polar Stereographic grid. Water level Velocity Analyses Hydrodynamic Simulation Operational St. Lawrence River Water management Hydrology Modelling EPSG:102976 -434.472012 -430.007794 45.256504 47.549511 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-19T18:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.ohps text/xml OHPS_100m_WaterLvlRiver The Operational Hydrodynamic Prediction System (OHPS) is a 2D hydrodynamic prediction system for the St. Lawrence River and fluvial estuary. It helps to better understand flows impacting the St. Lawrence ecosystem and serves as a decision-making tool for the integrated management of the St-Lawrence. Three components are integrated in OHPS system. The first one "steadysol" conducts daily steady-state flow analyses, 4 times per day at 00Z, 06Z, 12Z and 18Z, respectively, over a simulation domain extending from Montreal to Trois-Rivières. The second and third components, i.e. "analysis" and "forecast", provide continuous analyses and 48-hrs forecasts, respectively, for unsteady flows over an extended St. Lawrence domain of which the upstream boundaries locate in Carillon and Beauharnois while the downstream tidal boundary is near Saint-Joseph-de-la-Rive, respectively, 4 times a day at 00Z, 06Z, 12Z and 18Z. The system provides high-resolution outcomes for various parameters such as water levels, depth-averaged velocities and derived attributes, over the simulated domains. The products are available in the NetCDF format, which provides datasets. The published datasets of "steadysol" is over an irregular triangulated mesh, while the datasets of "analysis" and "forecast" are over a Polar Stereographic grid. Water level Velocity Analyses Hydrodynamic Simulation Operational St. Lawrence River Water management Hydrology Modelling EPSG:102976 -434.472012 -430.007794 45.256504 47.549511 2026-05-22T13:00:00Z/2026-05-24T12:00:00Z/PT1H 2026-05-19T18:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.ohps text/xml Weather Radar North American radar composite [1 km] RADAR_1KM_RRAI This mosaic is calculated over the North American domain with a horizontal spatial resolution of 1 km. This mosaic therefore includes all the Canadian and American radars available in the network and which can reach a maximum of 180 contributing radars. To better represent precipitation over the different seasons, this mosaic renders in mm/h to represent rain and in cm/h to represent snow. For the two precipitation types (rain and snow), we use two different mathematical relationships to convert the reflectivity by rainfall rates (mm/h rain cm/h for snow). This mosaic is based on the DPQPE (Dual-Pol Quantitative Precipitation Estimation) product for S-Band radars. For the US Nexrad radars, ECCC uses the most similar product from the US Meteorological Service (NOAA). This product displays radar reflectivity converted into precipitation rates, using the same formulas as the Canadian radars. Atmospheric conditions Meteorology Weather Radar Remote sensing Weather -170.320000 -50.000000 16.930000 67.190000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite text/xml RADAR_1KM_RSNO This mosaic is calculated over the North American domain with a horizontal spatial resolution of 1 km. This mosaic therefore includes all the Canadian and American radars available in the network and which can reach a maximum of 180 contributing radars. To better represent precipitation over the different seasons, this mosaic renders in mm/h to represent rain and in cm/h to represent snow. For the two precipitation types (rain and snow), we use two different mathematical relationships to convert the reflectivity by rainfall rates (mm/h rain cm/h for snow). This mosaic is based on the DPQPE (Dual-Pol Quantitative Precipitation Estimation) product for S-Band radars. For the US Nexrad radars, ECCC uses the most similar product from the US Meteorological Service (NOAA). This product displays radar reflectivity converted into precipitation rates, using the same formulas as the Canadian radars. Atmospheric conditions Meteorology Weather Radar Remote sensing Weather -170.320000 -50.000000 16.930000 67.190000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite text/xml RADAR_COVERAGE_RRAI Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -89.999000 90.000000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite.coverage text/xml RADAR_COVERAGE_RRAI.INV Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -89.999000 90.000000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite.coverage text/xml RADAR_COVERAGE_RSNO Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -89.999000 90.000000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite.coverage text/xml RADAR_COVERAGE_RSNO.INV Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -89.999000 90.000000 2026-05-22T19:36:00Z/2026-05-22T22:36:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.composite.coverage text/xml North American radar surface precipitation type [1 km] Radar-Coverage_SfcPrecipType Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -85.060000 85.060000 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.sfcpreciptype.coverage text/xml Radar-Coverage_SfcPrecipType-Inverted Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap. Atmospheric conditions Meteorology Radar coverage Radar Remote sensing Weather -180.000000 180.000000 -85.060000 85.060000 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.sfcpreciptype.coverage text/xml Radar_1km_SfcPrecipType This product is a composite at 1 km resolution over the North American domain, which, for areas with radar coverage, can distinguish occurrence and type of precipitation and can recognize several levels of precipitation intensity. This product uses as input two high-resolution radar composites namely a North American composite cleaned using dual-polarization technology, another radar composite of particle (precipitation) classification as well as the surface temperature from the CMC High Regional Deterministic Prediction System (HRDPS) model. The SPTP product is produced every 6 minutes. Atmospheric conditions Meteorology Weather Radar Remote sensing Weather EPSG:102979 -180.000000 180.000000 18.354306 90.000000 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.sfcpreciptype text/xml North American radar extrapolation [1 km] Radar_1km_RainPrecipRate-Extrapolation This product is the Radar Extrapolation Composite at 1 km resolution over the North American domain. It uses only the 6-minute high-resolution (1 km) radar composite (the one displayed on the different government public platforms) as input. Using a modification of the open source PySTEPS library, a motion field is computed, and radar echoes are projected forward in time. The motion is based on similarities between radar reflectivity in a time sequence at multiple spatial scales. Future radar reflectivity is extrapolated, followed by conversion to precipitation rates of MM/HR (Rain) or CM/HR (Snow). An output sequence of future radar is generated every 6 minutes. It is important to note that this output is only a projection of existing echoes with no account for the growth and decay that is expected in a real radar sequence. Errors will exist, especially near the edges of radar coverage, or near geographic features. Therefore, the product should be used with caution considering that no perfect solution can exist given the limits of predictability. Atmospheric conditions Meteorology Radar extrapolation Radar Remote sensing Weather -170.320000 -50.000000 16.930000 67.190000 2026-05-22T22:30:00Z/2026-05-22T23:30:00Z/PT6M 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.extrapolation text/xml Radar_1km_SnowPrecipRate-Extrapolation This product is the Radar Extrapolation Composite at 1 km resolution over the North American domain. It uses only the 6-minute high-resolution (1 km) radar composite (the one displayed on the different government public platforms) as input. Using a modification of the open source PySTEPS library, a motion field is computed, and radar echoes are projected forward in time. The motion is based on similarities between radar reflectivity in a time sequence at multiple spatial scales. Future radar reflectivity is extrapolated, followed by conversion to precipitation rates of MM/HR (Rain) or CM/HR (Snow). An output sequence of future radar is generated every 6 minutes. It is important to note that this output is only a projection of existing echoes with no account for the growth and decay that is expected in a real radar sequence. Errors will exist, especially near the edges of radar coverage, or near geographic features. Therefore, the product should be used with caution considering that no perfect solution can exist given the limits of predictability. Atmospheric conditions Meteorology Radar extrapolation Radar Remote sensing Weather -170.320000 -50.000000 16.930000 67.190000 2026-05-22T22:30:00Z/2026-05-22T23:30:00Z/PT6M 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.extrapolation text/xml Radar_1km_dBZ-Extrapolation This product is the Radar Extrapolation Composite at 1 km resolution over the North American domain. It uses only the 6-minute high-resolution (1 km) radar composite (the one displayed on the different government public platforms) as input. Using a modification of the open source PySTEPS library, a motion field is computed, and radar echoes are projected forward in time. The motion is based on similarities between radar reflectivity in a time sequence at multiple spatial scales. Future radar reflectivity is extrapolated, followed by conversion to precipitation rates of MM/HR (Rain) or CM/HR (Snow). An output sequence of future radar is generated every 6 minutes. It is important to note that this output is only a projection of existing echoes with no account for the growth and decay that is expected in a real radar sequence. Errors will exist, especially near the edges of radar coverage, or near geographic features. Therefore, the product should be used with caution considering that no perfect solution can exist given the limits of predictability. Atmospheric conditions Meteorology Radar extrapolation Radar Remote sensing Weather -170.320000 -50.000000 16.930000 67.190000 2026-05-22T22:30:00Z/2026-05-22T23:30:00Z/PT6M 2026-05-22T19:30:00Z/2026-05-22T22:30:00Z/PT6M urn:x-msc-smc:md:weather-meteo::radar.extrapolation text/xml Regional Deterministic Prediction System (RDPS) [10 km] RDPS-WEonG [experimental] RDPS-WEonG_10km_AirTemp Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_BlowingSnow-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_BlowingSnowPresence Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_DewPointTemp Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_DewPointTemp-CONTOUR Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_DominantPrecipType Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Drizzle-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_FreezingDrizzle-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_FreezingPrecip-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_FreezingPrecipCondAmt Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_FreezingRain-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_IceFogVisibility Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_IcePellets-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_IcePelletsCondAmt Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_InstantPrecipType Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_LandWater-Proportion Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_LiquidFogVisibility Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_LiquidPrecip-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_LiquidPrecipCondAmt Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Orography Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Precip-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_PrecipCharacter Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_PrecipCondAmt Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Rain-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_SecondMostCommonPrecipType Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_SkyState Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Snow-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_SnowLevelHeight Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_SnowSqualls-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_SolidSnowCondAmt Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_Thunderstorm-Prob Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_TotalPrecipIntensityIndex Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_WindDir Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_WindGust Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_WindSpeed Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS-WEonG_10km_WindSpeed-Contour Weather Elements on Grid (WEonG) based on the Regional Deterministic Prediction System (RDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Regional Deterministic Prediction System (RDPS). Prediction Regional Deterministic Sky Thunderstorm Snow Squalls Blowing snow Fog Precipitation Types Wind Gusts Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -7.776474 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.weong-rdps text/xml RDPS convective fields (legacy) RDPS.CONV_KINDEX.PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_KINDEX.PT3H-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LCL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LCL-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.400-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.600-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.650-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.700-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-LI.800-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-PRC-DPT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-PRC-TMP The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.400-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.600-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.650-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.700-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_ML-VT-LI.800-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LCL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LCL-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-PRC-DPT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-PRC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-PRC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-PRC-PRES The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-PRC-TMP The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_MU-VT-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LCL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LCL-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-CAPE-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-LFC-HGT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-LI.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SFC-VT-LI.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SHWINX.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SHWINX.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SSI The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_SWEAT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_TOTALX.PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_TOTALX.PT3H-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_VT-SHWINX.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_VT-SHWINX.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.CONV_VWSH.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS diagnostic fields (legacy) RDPS products at 1 hour intervals RDPS.DIAG_FR_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PE_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PR_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_RN_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_SN_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS products at 3 hours intervals RDPS.DIAG_FR_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PE_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PR_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_RN_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_SN_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS products at 6 hours intervals RDPS.DIAG_FR_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PE_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PR_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_RN_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_SN_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS products at 12 hours intervals RDPS.DIAG_FR_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PE_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PR_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_RN_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_SN_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS products at 24 hours intervals RDPS.DIAG_FR_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PE_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PR_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_RN_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_SN_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_NW_PT1H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_NW_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_NW_PT6H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_NW_PT12H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_NW_PT24H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.DIAG_PTYPE.PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS (legacy) RDPS.ETA_AB The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_AD The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_AI The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_AL The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_AS The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_D3 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ_850-700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ_850-700mb-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ_1000-850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_DZ_1000-850mb-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_EI The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_ES The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_EV The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_FC The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_FR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_FV The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_GZ The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_GZ-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HMX The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HPBL The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HU The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HU_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HU_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HU_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_HU_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_I0 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_I0.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_I1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_I1_0-0.01m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_I2 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_ICEC The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_IH The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_IUVA The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-16T18:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_IUVC The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-16T18:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_MGB The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_N4 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_NO The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_NT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_P0 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_P0-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_PC The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_PE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_PN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_PN-SLP The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_PR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_RE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_RN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_RT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_SD The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_SKINT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_SN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TD The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TD-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TM The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TT-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TT_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TT_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_TT_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UU The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVAX_00Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T00:00:00Z/2026-05-22T00:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVAX_06Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T06:00:00Z/2026-05-22T06:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVAX_12Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T12:00:00Z/2026-05-22T12:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVAX_18Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-16T18:00:00Z/2026-05-22T18:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVCX_00Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T00:00:00Z/2026-05-22T00:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVCX_06Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T06:00:00Z/2026-05-22T06:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVCX_12Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-17T12:00:00Z/2026-05-22T12:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_UVCX_18Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-24T18:00:00Z/PT24H 2026-05-16T18:00:00Z/2026-05-22T18:00:00Z/P1D urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WD The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WD_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WD_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WD_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WGE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WGN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WGX The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_40m-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_80m-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.ETA_WSPD_120m-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.1-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.1.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.1.5-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.2 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_PVU.2-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS at pressure levels (legacy) 10 RDPS.PRES_ES.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.10-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.10-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.10 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.10-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 20 RDPS.PRES_ES.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.20-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.20-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.20 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.20-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 30 RDPS.PRES_ES.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.30-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.30-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.30 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.30-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 50 RDPS.PRES_ES.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.50-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.50-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.50 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.50-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 100 RDPS.PRES_ES.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.100-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.100-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.100 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.100-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 150 RDPS.PRES_ES.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.150-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.150-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.150 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.150-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 175 RDPS.PRES_ES.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.175-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.175-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.175 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.175-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 200 RDPS.PRES_ES.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.200-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.200-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.200 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.200-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 225 RDPS.PRES_ES.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.225-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.225-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.225 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.225-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 250 RDPS.PRES_ES.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.250-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_QQ.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.250-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WP.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.250 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.250-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 275 RDPS.PRES_ES.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.275-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.275-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.275 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.275-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 300 RDPS.PRES_ES.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.300-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.300-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.300 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.300-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 350 RDPS.PRES_ES.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.350-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.350-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.350 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.350-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 400 RDPS.PRES_ES.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.400-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.400-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.400 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.400-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 450 RDPS.PRES_ES.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.450-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.450-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.450 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.450-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 500 RDPS.PRES_ES.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_QQ.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WP.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.500 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.500-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 550 RDPS.PRES_ES.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.550-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.550-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.550 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.550-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 600 RDPS.PRES_ES.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.600-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.600-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.600 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.600-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 650 RDPS.PRES_ES.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.650-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.650-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.650 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.650-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 700 RDPS.PRES_ES.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.700-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_QQ.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.700-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WP.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.700 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.700-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 750 RDPS.PRES_ES.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.750-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.750-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.750 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.750-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 800 RDPS.PRES_ES.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.800-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.800-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.800 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.800-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 850 RDPS.PRES_ES.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.850-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.850-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WP.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.850-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 875 RDPS.PRES_ES.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.875-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.875-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.875 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.875-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 900 RDPS.PRES_ES.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.900-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.900-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.900 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.900-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 925 RDPS.PRES_ES.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.925-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.925-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.925 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.925-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 950 RDPS.PRES_ES.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.950-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.950-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.950 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.950-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 970 RDPS.PRES_ES.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.970-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.970-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.970 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.970-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 985 RDPS.PRES_ES.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.985-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.985-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.985 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.985-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1000 RDPS.PRES_ES.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.1000-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_QQ.850 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1000-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1000 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1000-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1015 RDPS.PRES_ES.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.1015-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HR.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1015-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1015 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1015-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1 RDPS.PRES_GZ.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.1-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.1-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.1-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 5 RDPS.PRES_GZ.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_GZ.5-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_HU.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_TT.5-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_UU.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WD.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS.PRES_WSPD.5-CONTOUR The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102991 -180.000000 180.000000 17.299435 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS at pressure levels 250 RDPS_10km_AbsoluteVorticity_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VerticalVelocity_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_250mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 500 RDPS_10km_AbsoluteVorticity_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VerticalVelocity_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 700 RDPS_10km_AbsoluteVorticity_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VerticalVelocity_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 850 RDPS_10km_AbsoluteVorticity_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VerticalVelocity_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1 RDPS_10km_AirTemp-Contour_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_1mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 5 RDPS_10km_AirTemp-Contour_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_5mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 10 RDPS_10km_AirTemp-Contour_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_10mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 20 RDPS_10km_AirTemp-Contour_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_20mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 30 RDPS_10km_AirTemp-Contour_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_30mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 50 RDPS_10km_AirTemp-Contour_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_50mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 100 RDPS_10km_AirTemp-Contour_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_100mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 150 RDPS_10km_AirTemp-Contour_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_150mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 175 RDPS_10km_AirTemp-Contour_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_175mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 200 RDPS_10km_AirTemp-Contour_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_200mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 225 RDPS_10km_AirTemp-Contour_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_225mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 275 RDPS_10km_AirTemp-Contour_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_275mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 300 RDPS_10km_AirTemp-Contour_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_300mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 350 RDPS_10km_AirTemp-Contour_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_350mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 400 RDPS_10km_AirTemp-Contour_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 450 RDPS_10km_AirTemp-Contour_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_450mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 550 RDPS_10km_AirTemp-Contour_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_550mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 600 RDPS_10km_AirTemp-Contour_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 650 RDPS_10km_AirTemp-Contour_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 750 RDPS_10km_AirTemp-Contour_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_750mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 800 RDPS_10km_AirTemp-Contour_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 875 RDPS_10km_AirTemp-Contour_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_875mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 900 RDPS_10km_AirTemp-Contour_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_900mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 925 RDPS_10km_AirTemp-Contour_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_925mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 950 RDPS_10km_AirTemp-Contour_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_950mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 970 RDPS_10km_AirTemp-Contour_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_970mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 985 RDPS_10km_AirTemp-Contour_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_985mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1000 RDPS_10km_AirTemp-Contour_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_1000mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml 1015 RDPS_10km_AirTemp-Contour_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_1015mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS RDPS_10km_AirTemp-Contour_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp-Contour_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_AirTemp_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Albedo The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_CloudWater_EAtm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ConvectivePrecip-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPoint-Contour_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPointDepression_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DewPoint_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DownwardLongwaveRadiationFlux-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DownwardShortwaveRadiationFlux-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_DownwardShortwaveRadiationFlux-Accum_NTAtm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_GeopotentialHeight-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Humidex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_KIndex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_KIndex-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_LandWater-Proportion The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_LatentHeatNetFlux The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_NetLongwaveRadiationFlux-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_NetShortwaveRadiationFlux-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PlanetaryBoundaryLayerHeight The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipRate The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-1 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-1-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-1.5 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-1.5-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-2 The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-PVU-2-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure-Trend_PT3H The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure_MSL The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Pressure_MSL-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RadiativeTemp The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_RelativeHumidity_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Runoff-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SeaIceFraction The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SeaWaterTemp The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SeeingIndex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SensibleHeatNetFlux The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SkyTransparencyIndex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SnowDensity The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SnowDepth The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SoilTemp The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SoilTemp_0-10cm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SoilVolumetricIceContent The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SoilVolumetricWaterContent_0-1cm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SoilVolumetricWaterContent_0-10cm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_2m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SpecificHumidity_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness-Contour_850to700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness-Contour_1000to500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness-Contour_1000to850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness_850to700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness_1000to500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Thickness_1000to850mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_TotalCloudCover The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_TotalTotalsIndex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_TotalTotalsIndex-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-ClearSky The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-ClearSky-Max24h_00Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T00:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-ClearSky-Max24h_06Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T06:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T06:00:00Z,2026-05-22T06:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-ClearSky-Max24h_12Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T12:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-ClearSky-Max24h_18Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T18:00:00Z,2026-05-22T18:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-Max24h_00Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T00:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-22T00:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-Max24h_06Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T06:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T06:00:00Z,2026-05-22T06:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-Max24h_12Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T12:00:00Z,2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T12:00:00Z,2026-05-22T12:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UVIndex-Max24h_18Z The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z,2026-05-23T18:00:00Z,2026-05-24T18:00:00Z 2026-05-21T18:00:00Z,2026-05-22T18:00:00Z urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_UpwardLongwaveRadiationFlux_NTAtm The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindChill The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindDir_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindGust-Max_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindGust-Min_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindGust_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed-Contour_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_WindSpeed_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_10m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_40m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_80m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Winds_120m The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS convective fields RDPS_10km_CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_CAPE-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_LiftedIndex-MU-VT-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_LiftedIndex-MU-VT_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-CAPE-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-EL_HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LCL_HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LCL_HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LFC_HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LFC_HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI-Contour_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_400mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_600mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_650mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_700mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ML-LI_800mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-CAPE-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-EL The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LCL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LCL-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LFC-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LI-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-LI_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-PRC-DPT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-PRC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-PRC-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-PRC-PRES The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-PRC-TMP The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-CAPE-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_MU-VT-LFC-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LCL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LCL-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LFC-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LI-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-LI_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-CAPE The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-CAPE-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-CIN The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-EL-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-LFC-HGT The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-LFC-HGT-Contour The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-LI-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_SFC-VT-LI_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ShowalterIndex-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_ShowalterIndex_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VT-SHWINX-Contour_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_VT-SHWINX_500mb The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS diagnostic fields RDPS_10km_FreezingRain-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_FreezingRain-Accum-1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_FreezingRain-Accum-3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_FreezingRain-Accum-6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_FreezingRain-Accum-12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_FreezingRain-Accum-24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum-1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum-3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum-6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum-12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_IcePellets-Accum-24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Precip-Accum24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Instant The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T18:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Significant1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Significant3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Significant6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Significant12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_PrecipType-Significant24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-19T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Rain-Accum24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum1h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T19:00:00Z/2026-05-26T06:00:00Z/PT1H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum3h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-22T21:00:00Z/2026-05-26T06:00:00Z/PT3H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum6h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T00:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum12h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T06:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_10km_Snow-Accum24h The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -3.824985 90.000000 2026-05-23T18:00:00Z/2026-05-26T06:00:00Z/PT6H 2026-05-21T06:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml RDPS_Footprint The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain. Prediction Regional Deterministic Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.rdps text/xml Regional Ensemble Prediction System (REPS) [10 km] REPS products Humidex at 2 m REPS.DIAG.3_HMXX.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_HMXX.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE35 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE38 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERGE42 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_HMXX.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Precipitation REPS.DIAG.3_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE0.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERGE200 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERGE200 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.48_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-24T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERGE200 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.72_PRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-25T18:00:00Z/2026-05-25T18:00:00Z/PT24H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 2 m REPS.DIAG.3_TT.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_TT.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-35 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERLE-40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T7.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE35 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERGE-30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_T8.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind chill factor at 2 m REPS.DIAG.3_WCF.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WCF.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE35 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE45 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_WCF.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind speed at 10 m REPS.DIAG.3_WSPD.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.3_WSPD.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE37 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE62 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE65 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERGE118 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_UVMX.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT12H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Freezing rain REPS.DIAG.6_FRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_FRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_FRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_FRMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Ice pellets REPS.DIAG.6_PEMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_PEMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_PEMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_PEMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Rain REPS.DIAG.6_RNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_RNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_RNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE150 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERGE200 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_RNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Snow REPS.DIAG.6_SNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.6_SNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T00:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.12_SNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T06:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC0 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC90 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERC100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE0.2 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE1 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE2.5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE5 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE25 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE30 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE40 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE50 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE75 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERGE100 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERMEAN The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.DIAG.24_SNMM.ERSSTD The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-23T18:00:00Z/2026-05-25T18:00:00Z/PT6H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS members Downward longwave REPS.MEM.ETA_AD.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_AD.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Sensible heat REPS.MEM.ETA_FC.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FC.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Freezing rain REPS.MEM.ETA_FR.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FR.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Latent heat REPS.MEM.ETA_FV.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_FV.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at surface REPS.MEM.ETA_GZ.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_GZ.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-22T18:00:00Z/PT0H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity REPS.MEM.ETA_HR.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HR.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Specific humidity at 2 m REPS.MEM.ETA_HU.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_HU.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Soil temperature REPS.MEM.ETA_I0.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I0.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Soil moisture REPS.MEM.ETA_I1.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I1.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Snow water equivalent REPS.MEM.ETA_I5.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_I5.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Downward shortwave REPS.MEM.ETA_N4.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_N4.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Water runoff REPS.MEM.ETA_NO.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NO.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Cloud cover REPS.MEM.ETA_NT.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_NT.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Surface pressure REPS.MEM.ETA_P0.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_P0.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Ice pellets REPS.MEM.ETA_PE.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PE.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Sea level pressure REPS.MEM.ETA_PN-SLP.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN-SLP.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PN.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Precipitation REPS.MEM.ETA_PR.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_PR.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Rain REPS.MEM.ETA_RN.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_RN.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Snow depth REPS.MEM.ETA_SD.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SD.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Snow REPS.MEM.ETA_SN.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_SN.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 2 m REPS.MEM.ETA_TT.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_TT.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind speed at 10 m REPS.MEM.ETA_WSPD.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.ETA_WSPD.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Upward longwave REPS.MEM.NTAT_EI.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.NTAT_EI.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T21:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 50 mb REPS.MEM.PRES_GZ.50.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.50.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 100 mb REPS.MEM.PRES_GZ.100.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.100.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 200 mb REPS.MEM.PRES_GZ.200.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.200.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 250 mb REPS.MEM.PRES_GZ.250.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.250.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 500 mb REPS.MEM.PRES_GZ.500.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.500.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 700 mb REPS.MEM.PRES_GZ.700.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.700.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 850 mb REPS.MEM.PRES_GZ.850.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.850.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 925 mb REPS.MEM.PRES_GZ.925.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.925.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Geopotential height at 1000 mb REPS.MEM.PRES_GZ.1000.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_GZ.1000.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 50 mb REPS.MEM.PRES_HR.50.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.50.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 100 mb REPS.MEM.PRES_HR.100.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.100.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 200 mb REPS.MEM.PRES_HR.200.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.200.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 250 mb REPS.MEM.PRES_HR.250.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.250.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 500 mb REPS.MEM.PRES_HR.500.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.500.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 700 mb REPS.MEM.PRES_HR.700.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.700.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 850 mb REPS.MEM.PRES_HR.850.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.850.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 925 mb REPS.MEM.PRES_HR.925.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.925.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Relative humidity at 1000 mb REPS.MEM.PRES_HR.1000.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HR.1000.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Specific humidity at 40 m REPS.MEM.PRES_HU.40m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.40m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Specific humidity at 80 m REPS.MEM.PRES_HU.80m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.80m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Specific humidity at 120 m REPS.MEM.PRES_HU.120m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_HU.120m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 40 m REPS.MEM.PRES_TT.40m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.40m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 50 mb REPS.MEM.PRES_TT.50.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.50.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 80 m REPS.MEM.PRES_TT.80m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.80m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 100 mb REPS.MEM.PRES_TT.100.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.100.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 120 m REPS.MEM.PRES_TT.120m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.120m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 200 mb REPS.MEM.PRES_TT.200.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.200.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 250 mb REPS.MEM.PRES_TT.250.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.250.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 500 mb REPS.MEM.PRES_TT.500.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.500.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 700 mb REPS.MEM.PRES_TT.700.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.700.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 850 mb REPS.MEM.PRES_TT.850.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.850.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 925 mb REPS.MEM.PRES_TT.925.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.925.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Air temperature at 1000 mb REPS.MEM.PRES_TT.1000.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_TT.1000.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind speed at 40 m REPS.MEM.PRES_WSPD.40m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.40m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind speed at 80 m REPS.MEM.PRES_WSPD.80m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.80m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Wind speed at 120 m REPS.MEM.PRES_WSPD.120m.01 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.02 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.03 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.04 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.05 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.06 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.07 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.08 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.09 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.10 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.11 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.12 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.13 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.14 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.15 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.16 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.17 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.18 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.19 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.20 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml REPS.MEM.PRES_WSPD.120m.21 The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day. Probabilistic predictions Regional Ensemble Weather forecasts Precipitation Air temperature Humidity Snow Wind Meteorological data EPSG:102990 -180.000000 180.000000 2.726158 90.000000 2026-05-22T18:00:00Z/2026-05-25T18:00:00Z/PT3H 2026-05-21T00:00:00Z/2026-05-22T18:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.reps text/xml Regional Ensemble Storm Surge Prediction System (RESPS) [9 km] RESPS RESPS-Atlantic-North-West_9km_SeaSfcHeight_01 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_02 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_03 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_04 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_05 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_06 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_07 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_08 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_09 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_10 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_11 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_12 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_13 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_14 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_15 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_16 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_17 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_18 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_19 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_20 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_SeaSfcHeight_21 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_01 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_02 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_03 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_04 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_05 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_06 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_07 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_08 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_09 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_10 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_11 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_12 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_13 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_14 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_15 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_16 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_17 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_18 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_19 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_20 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS-Atlantic-North-West_9km_StormSurge_21 The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -72.041667 -44.291769 41.958334 60.041598 2026-05-22T12:00:00Z/2026-06-07T12:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT12H urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml RESPS_Footprint The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS). Storm surge Sea surface height Prediction Regional Ensemble Forecasting Storms Water Seas -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.resps text/xml Water Cycle Prediction System (WCPS) [1 km] WCPS-Ocean-Atm_Footprint WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -180.000000 180.000000 -90.000000 90.000000 urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS-Ocean-Atmosphere WCPS_1km_AirTemp_1.5m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_MixedLayerThickness WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_Precip-Accum WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_PrecipRate WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_Rain-Accum WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_Runoff WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceAreaFraction WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceCompressiveStrength WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceDivergence WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceInternalPressure WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceShear WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceSnowTemp WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceSnowVol WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceVelocity WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaIceVol WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaSfcHeight WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaWaterPotentialTemp_0.5m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaWaterSalinity_0.5m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_SeaWaterVelocity_0.5m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_Snow-Accum WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T13:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_TurboclineDepth WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_WindsU_10m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_WindsV_10m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml WCPS_1km_Winds_10m WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast. Atmosphere Deterministic Meteorological data Weather Forecasting Oceans Seas Lakes Rivers -93.374967 -37.750033 34.749993 54.449997 2026-05-22T12:00:00Z/2026-05-26T00:00:00Z/PT1H 2026-05-21T12:00:00Z/2026-05-22T12:00:00Z/PT6H urn:x-msc-smc:md:weather-meteo::nwep.wcps-ocean-atmosphere text/xml